CN117375246A - Power equipment management method, system and equipment - Google Patents
Power equipment management method, system and equipment Download PDFInfo
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- CN117375246A CN117375246A CN202311656990.XA CN202311656990A CN117375246A CN 117375246 A CN117375246 A CN 117375246A CN 202311656990 A CN202311656990 A CN 202311656990A CN 117375246 A CN117375246 A CN 117375246A
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06T7/0004—Industrial image inspection
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00016—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using a wired telecommunication network or a data transmission bus
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00028—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
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- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
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Abstract
The application is applicable to the technical field of power equipment management, and particularly relates to a power equipment management method, a system and equipment, wherein the method comprises the following steps: acquiring power equipment information and power buffer equipment information; carrying out dynamic simulation according to the power equipment information to obtain power equipment image information; performing dynamic simulation according to the power buffer equipment information to obtain power buffer equipment image information; the method comprises the steps of sending power equipment image information and power buffer equipment image information to second terminal equipment, and obtaining first management information which is fed back by the second terminal equipment and is used for managing the power equipment; acquiring working condition data of the power equipment according to the image information of the power equipment; acquiring working condition data of the power buffer equipment according to the image information of the power buffer equipment; and obtaining second management information for managing the power equipment according to the power equipment working condition data and the power buffer equipment working condition data. The power equipment management method can solve the problem that the power equipment is difficult to manage.
Description
Technical Field
The application belongs to the technical field of power equipment management, and particularly relates to a power equipment management method, a system and equipment.
Background
The power equipment mainly comprises power generation equipment, power transmission equipment, power distribution equipment and electric equipment. Power generation equipment typically includes generators, wind power generation units, solar photovoltaic panels, and the like. Power transmission equipment typically includes transformers, switching equipment, cables, and the like. Distribution equipment typically includes switchgear, electrical panels, electrical meters, and the like. Consumers typically include motors, lighting, air conditioning, and the like.
Power equipment management refers to the process of efficiently monitoring, controlling, maintaining, and optimizing various devices in a power system. The method aims at ensuring normal operation of the power equipment, prolonging the service life of the equipment, reducing the risk of faults and improving the reliability, the safety and the energy efficiency of the power system.
At present, large-amplitude voltage fluctuation is easy to occur in the distribution period of the power equipment in the peak period and the valley period of power utilization. Meanwhile, power is required to be cut off when the power equipment is overhauled, and the process can also cause large voltage fluctuation. And large voltage fluctuations may cause power equipment to malfunction or power failure, making it difficult to manage the power equipment.
Disclosure of Invention
The embodiment of the application provides a power equipment management method, a system and equipment, which can solve the problem that the power equipment is difficult to manage due to the fact that the power equipment is easy to have large-amplitude voltage fluctuation in the related technology.
In order to achieve the above application purposes, the technical solution adopted in the embodiment of the present application is as follows:
in a first aspect, an embodiment of the present application provides a power device management method, applied to a first terminal device, including:
acquiring power equipment information and power buffer equipment information;
performing dynamic simulation according to the power equipment information to obtain power equipment image information; the power equipment image information comprises layout image information between the power equipment and the power buffer equipment and image information reflecting the relation between the voltage and the current of the power equipment;
performing dynamic simulation according to the power buffer equipment information to obtain power buffer equipment image information; wherein the power buffer device image information includes power buffer device current path image information and power buffer device voltage image information;
the image information of the power equipment and the image information of the power buffer equipment are sent to second terminal equipment, and first management information which is fed back by the second terminal equipment and used for managing the power equipment is obtained;
acquiring working condition data of the power equipment according to the image information of the power equipment; wherein the working condition data of the power equipment comprise working condition data reflecting the working condition of the power equipment in a working state;
Acquiring working condition data of the power buffer equipment according to the image information of the power buffer equipment; the power buffer equipment working condition data comprise data reflecting that the power buffer equipment absorbs electric energy of the power equipment in a working state and data reflecting electric energy released to the power equipment;
and obtaining second management information for managing the power equipment according to the power equipment working condition data and the power buffer equipment working condition data.
The technical scheme in the embodiment of the application has at least the following technical effects:
according to the power equipment management method, the power equipment information and the power buffer equipment information are obtained, dynamic simulation is carried out according to the power equipment information to obtain the power equipment image information, dynamic simulation is carried out according to the power buffer equipment information to obtain the power buffer equipment image information, the power equipment image information and the power buffer equipment image information are transmitted to the second terminal equipment, the second terminal equipment can timely know important information such as layout conditions, voltage and current relations, current paths and voltage distribution of the power equipment and the power buffer equipment according to the received image information, and remote personnel (such as technical experts) can know fault conditions of the power equipment and the power buffer equipment and give solutions. And remote management and control of the power equipment can be realized by means of the first management information fed back by the second terminal equipment. According to the first management information fed back by the second terminal equipment, a manager can quickly make a decision to adjust the running state and parameter setting of the power equipment so as to ensure safe and stable running of the power system.
The operating state of the power equipment can be known by obtaining the working condition data of the power equipment according to the information of the power equipment, and the operating state comprises the change conditions of parameters such as temperature, pressure, current, voltage and the like when the power equipment operates. These data can be used to monitor the operating condition of the electrical equipment in real time. Meanwhile, working condition data of the power buffering equipment are obtained according to the information of the power buffering equipment, and the situation that the power buffering equipment absorbs electric energy of the power equipment and supplies the electric energy to the power equipment in different time periods can be known. And according to the working condition data of the power equipment and the working condition data of the power buffer equipment, the management information for managing the power equipment is obtained, the power equipment and the power buffer equipment can be subjected to load adjustment and power distribution according to the management information, the power stability and load balance between the power equipment and the power buffer equipment are ensured, the problem of overload or unstable power is avoided, the management of the power equipment is facilitated, and the problem that the power equipment is managed due to the influence of large-amplitude voltage fluctuation of the power equipment can be effectively improved.
In a second aspect, an embodiment of the present application provides a power device management system, including:
the acquisition module is used for acquiring the power equipment information and the power buffer equipment information;
The first simulation module is used for carrying out dynamic simulation according to the power equipment information to obtain power equipment image information; the power equipment image information comprises layout image information between the power equipment and the power buffer equipment and image information reflecting the relation between the voltage and the current of the power equipment;
the second simulation module is used for carrying out dynamic simulation according to the power buffer equipment information to obtain power buffer equipment image information; wherein the power buffer device image information includes power buffer device current path image information and power buffer device voltage image information;
the first generation module is used for sending the power equipment image information and the power buffer equipment image information to second terminal equipment and obtaining first management information which is fed back by the second terminal equipment and is used for managing the power equipment;
the first processing module is used for obtaining working condition data of the power equipment according to the image information of the power equipment; wherein the working condition data of the power equipment comprise working condition data reflecting the working condition of the power equipment in a working state;
the second processing module is used for obtaining working condition data of the power buffer equipment according to the image information of the power buffer equipment; the power buffer equipment working condition data comprise data reflecting that the power buffer equipment absorbs electric energy of the power equipment in a working state and data reflecting electric energy released to the power equipment;
And the second generation module is used for obtaining second management information for managing the power equipment according to the power equipment working condition data and the power buffer equipment working condition data.
In a third aspect, an embodiment of the present application provides a power device management apparatus, including a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program implementing the method according to any one of the first aspect above when executed by the processor.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program which, when executed by a processor, implements a method as in any one of the first aspects above.
In a fifth aspect, embodiments of the present application provide a computer program product, which, when run on a terminal device, causes the terminal device to perform the method according to any one of the first aspects described above.
It will be appreciated that the advantages of the second to fifth aspects may be found in the relevant description of the first aspect, and are not described here again.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a power device management method according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of an implementation of step S200 in the power device management method according to an embodiment of the present application;
fig. 3 is a schematic flowchart of an implementation of step S400 in the power device management method according to an embodiment of the present application;
fig. 4 is a schematic implementation flow chart of step S450 in the power device management method according to an embodiment of the present application;
fig. 5 is a schematic flowchart of an implementation of step S700 in the power device management method according to an embodiment of the present application;
fig. 6 is a schematic flowchart of an implementation of step S710 in the power device management method according to an embodiment of the present application;
fig. 7 is a schematic flowchart of an implementation of step S700 in a power device management method according to another embodiment of the present application;
Fig. 8 is a schematic flowchart of an implementation of step S750 in a power device management method according to an embodiment of the present application;
FIG. 9 is a schematic diagram of a power device management system according to an embodiment of the present disclosure;
fig. 10 is a schematic structural diagram of a power device management apparatus according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted in context as "when … …" or "upon" or "in response to determining" or "in response to detecting". Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
In addition, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and are not to be construed as indicating or implying relative importance.
Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
In the related art, the power equipment mainly comprises power generation equipment, power transmission equipment, distribution equipment and electric equipment. Power generation equipment typically includes generators, wind power generation units, solar photovoltaic panels, and the like. Power transmission equipment typically includes transformers, switching equipment, cables, and the like. Distribution equipment typically includes switchgear, electrical panels, electrical meters, and the like. Consumers typically include motors, lighting, air conditioning, and the like.
Power equipment management refers to the process of efficiently monitoring, controlling, maintaining, and optimizing various devices in a power system. The method aims at ensuring normal operation of the power equipment, prolonging the service life of the equipment, reducing the risk of faults and improving the reliability, the safety and the energy efficiency of the power system.
At present, large-amplitude voltage fluctuation is easy to occur in the distribution period of the power equipment in the peak period and the valley period of power utilization. Meanwhile, when the power equipment is overhauled, power is required to be cut off, transient voltage is caused when the power equipment is converted from an operation state to an off-line state, and the process can also cause large-amplitude voltage fluctuation. And large voltage fluctuations may cause power equipment to malfunction or power failure, making it difficult to manage the power equipment.
In order to solve the above problems, embodiments of the present application provide a method, a system, and an apparatus for power equipment management.
According to the power equipment management method, the first terminal equipment obtains the power equipment image information by obtaining the power equipment information and the power buffering equipment information and carrying out dynamic simulation according to the power equipment information, the power buffering equipment image information is obtained by carrying out dynamic simulation according to the power buffering equipment information, the power equipment image information and the power buffering equipment image information are transmitted to the second terminal equipment, the second terminal equipment can timely know important information such as layout conditions, voltage and current relations, current paths and voltage distribution of the power equipment and the power buffering equipment according to the received image information, and remote personnel (such as technical specialists) can know fault conditions of the power equipment and the power buffering equipment and give solutions. And remote management and control of the power equipment can be realized by means of the first management information fed back by the second terminal equipment. According to the first management information fed back by the second terminal equipment, a manager can quickly make a decision to adjust the running state and parameter setting of the power equipment so as to ensure safe and stable running of the power system. And, the image information received by the second terminal device may be used for fault diagnosis and prediction. By analyzing the image information of the power equipment and the image information of the power buffer equipment, potential fault signs can be found in time, measures are taken in advance to maintain and repair, and power failure accidents caused by faults are avoided. The collected power equipment image information and power buffer equipment image information can be used for data analysis and optimization, and problems and improvement spaces in the operation of a power system can be found through deep analysis of the information, so that the management and operation efficiency of the power equipment are optimized.
The operating state of the power equipment can be known by obtaining the working condition data of the power equipment according to the information of the power equipment, and the operating state comprises the change conditions of parameters such as temperature, pressure, current, voltage and the like when the power equipment operates. These data can be used to monitor the operating condition of the electrical equipment in real time. Meanwhile, working condition data of the power buffering equipment are obtained according to the information of the power buffering equipment, and the situation that the power buffering equipment absorbs electric energy of the power equipment and supplies the electric energy to the power equipment in different time periods can be known. And according to the working condition data of the power equipment and the working condition data of the power buffer equipment, the management information for managing the power equipment is obtained, the power equipment and the power buffer equipment can be subjected to load adjustment and power distribution according to the management information, the power stability and load balance between the power equipment and the power buffer equipment are ensured, the problem of overload or unstable power is avoided, the management of the power equipment is facilitated, and the problem that the power equipment is managed due to the influence of large-amplitude voltage fluctuation of the power equipment can be effectively improved.
The power equipment management method provided by the embodiment of the application can be applied to the first terminal equipment, and at this time, the first terminal equipment is the execution main body of the power equipment management method provided by the embodiment of the application, and the embodiment of the application does not limit the specific type of the first terminal equipment.
For example, the first terminal device may be a Station (ST) in a WLAN, may be a wireless local loop (Wireless Local Loop, WLL) station, a cell phone, a tablet, a notebook, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (personal digital assistant, PDA), a desktop computer, a handheld device with wireless communication capabilities, a computing device or other processing device connected to a wireless modem, a computer, a laptop, a handheld computing device, etc.
In order to better understand the power equipment management method provided by the embodiment of the present application, a specific implementation procedure of the power equipment management method provided by the embodiment of the present application is described below as an example.
Fig. 1 shows a schematic flowchart of a power device management method provided in an embodiment of the present application, where the power device management method includes:
s100, the first terminal equipment acquires power equipment information and power buffer equipment information.
It will be appreciated that a power buffering device is a device for providing a short-term backup power source or electrical energy storage in an electrical power system for coping with supply and demand problems of electrical power in the electrical power system to maintain stability and reliability of the power supply. For example, the power buffering device may be a storage battery, a super capacitor, a power battery, or the like, but is not limited thereto. The power buffering device may be electrically connected to the single or multiple power devices such that the power buffering device may absorb electrical energy from the single or multiple power devices and release electrical energy to the single or multiple power devices. The power buffer device can absorb the surplus electric energy of the power device in the low-load period of the power device, and release the electric energy to supplement the power device in the high-load period of the power device, so that the balance of peak-valley electricity prices is realized. The power system may be a system composed of a plurality of power buffering devices and a plurality of power devices electrically connected.
The power equipment information is information reflecting basic information conditions (e.g., parameter information of operating power, voltage, frequency, etc. of the power equipment, which are used to describe basic operation capability of the power equipment) and actual operating conditions of the power equipment. For example, the first terminal device may obtain the power device information through a sensor or a monitoring device electrically connected to the first terminal device, where the sensors may obtain an operation state, an operation parameter, energy consumption data, an operation duration, and the like of the power device, and convert the operation state, the operation parameter, the energy consumption data, the operation duration, and the like into the power device information (e.g., an electrical signal or a digital signal) for use by the first terminal device. Basic parameter information of the power device may also be input to the first terminal device by a user. Likewise, the power buffering device information is information reflecting the basic information condition and the actual operation condition of the power buffering device.
By acquiring the power equipment information, the first terminal equipment can acquire energy consumption data, performance parameters, states of the power equipment and the like of the power equipment, and the first terminal equipment can perform energy management and optimization. Meanwhile, the acquisition of the power equipment information and the power buffer equipment information can provide a solid foundation for data analysis and decision making, and deep insights on the aspects of equipment operation state, system performance, energy utilization and the like can be obtained by analyzing and mining the power equipment information and the power buffer equipment information, and the information can be used for making operation and maintenance strategies of the power equipment, optimizing system configuration, supporting decision making and the like, so that the management of the power equipment is facilitated.
And S200, performing dynamic simulation according to the power equipment information to obtain power equipment image information. The power equipment image information comprises layout image information between the power equipment and the power buffer equipment and image information reflecting the relation between the voltage and the current of the power equipment.
It will be appreciated that the power system may be modeled and simulated using power system simulation software to simulate the operation of the power system and to obtain variations in various parameters. For example, the power system simulation software may be PSCAD/EMTDC, DIgSILENT PowerFactory, etc. According to the simulation result, generating the power equipment layout image information, and drawing the information such as the position, the form, the connection mode and the like of the power equipment into an image by using tools such as CAD software and the like. And generating image information reflecting the relation between the voltage and the current of the power equipment according to the simulation result. The voltage versus current relationship of the electrical device may be reflected by plotting an electrical characteristic curve. Mathematical software such as MATLAB may also be used for calculation and mapping. And integrating and processing the generated power equipment image information to obtain final power equipment image information. The image processing software can be used for cutting, rotating, adjusting colors and the like on the image so as to better show the information of the power equipment.
By means of the dynamic simulation and emulation of the power equipment, the operation condition of the power system can be clearly known, the fault cause is analyzed, and the system design and management scheme is optimized. By dynamically simulating and simulating the power equipment, the running state and the characteristics of the power equipment can be analyzed so as to be better regulated and controlled, and therefore the management efficiency of the power equipment is improved. By dynamically simulating and simulating the power equipment, faults and anomalies of the power equipment can be found in time, so that measures are taken in time to repair and maintain, and the maintenance cost is reduced. By generating layout image information between the power equipment and the power buffer equipment and image information reflecting the relation between the voltage and the current of the power equipment, the information of the power equipment can be displayed more intuitively, and people can understand and research conveniently. Meanwhile, an important reference basis can be provided for the design, transformation and upgrading of the power system, and the management efficiency is improved.
In one possible implementation, referring to fig. 2, S200, performing dynamic simulation according to power equipment information to obtain power equipment image information includes:
s210, dividing the power equipment information according to the equipment types to obtain corresponding power equipment type data. The power equipment type data comprise layout data between the power equipment and the power buffer equipment and data reflecting the relation between the voltage and the current of the power equipment.
It will be appreciated that the electrical devices first need to be categorized, including generators, transformers, switching devices, line devices, etc. For the power buffering device, it may be classified into a capacitor, an inductor, an energy storage device, and the like. For each type of power equipment, corresponding layout data including the position, connection mode, power input/output direction and the like of the equipment need to be acquired. The data can be extracted from the actual measurement or drawing in the field to obtain the layout information of the power equipment. Depending on the type of device, the data reflecting the voltage versus current relationship in the power device is also different. For example, the generator needs to obtain electrical parameters such as a machine-side voltage and a machine-side current; parameters such as transformation ratio, voltage regulation range, no-load loss, short-circuit impedance and the like are required to be obtained by the transformer; and the switching device needs to acquire parameters such as rated voltage, rated current, dynamic stable current and the like. According to the characteristics of different devices, corresponding voltage and current data are acquired so as to better analyze and manage the power devices. And integrating the acquired equipment layout data with the voltage and current data, and classifying according to equipment types to form power equipment type data.
By such arrangement, the classification and data division of the power equipment information can be performed better for equipment management and maintenance. The layout data of the power equipment are known, so that workers can be helped to better arrange the arrangement positions and the connection modes of the equipment, and the management efficiency and the safety of the equipment are improved. Meanwhile, the data of the relation between the voltage and the current of the power equipment are known, the equipment state monitoring and fault diagnosis can be better carried out, the problems can be timely found and solved, and the equipment faults and the downtime are reduced. Layout data and data of the relation between voltage and current in the type data of the power equipment provide a basis for operation optimization and adjustment of a power system. By analyzing the equipment layout data, the arrangement mode of the power equipment can be optimized, and the reliability and stability of the power system are improved. The data of the relation between the voltage and the current of the power equipment is known, so that the operations such as voltage regulation, load balancing and power control can be facilitated, and the management efficiency and the energy utilization rate of the power system are improved. Layout data and voltage-current relation data in the power equipment type data have important significance for fault diagnosis and maintenance work. Through analysis of equipment layout data, the position of the fault equipment can be rapidly determined, the fault range is reduced, and the accuracy and the efficiency of fault positioning are improved. Meanwhile, the data of the relation between the voltage and the current of the power equipment is known, so that the equipment fault type can be judged, maintenance personnel can be guided to perform corresponding treatment, the maintenance efficiency is improved, and the downtime is reduced. The power equipment category data provides basic information for planning and expanding the power system. Through analysis of equipment layout data and data of the relation between voltage and current, the capacity and performance of the current power system can be evaluated, and references are provided for subsequent system planning and expansion. According to the analysis result of the type data of the power equipment, the configuration and capacity increase and decrease of the power equipment can be reasonably planned, and the sustainable development capability of the power system is improved.
S220, according to the data scheduling instruction sent by the second terminal equipment, carrying out dynamic simulation processing on layout data between the power equipment and the power buffer equipment of the corresponding power equipment type data and data reflecting the relation between the voltage and the current of the power equipment to obtain power equipment image information.
It will be appreciated that the data scheduling instructions sent by the second terminal device first need to be received and parsed in the system, these instructions including the status of the power devices, the demand information, and the corresponding layout requirements, etc. The system needs to accurately parse these instructions for subsequent processing and operation. And according to the received data scheduling instruction, dynamically simulating and processing the layout of the power equipment and the data of the relation between the voltage and the current by the system. The method comprises the steps of virtually distributing and connecting the power equipment by using computer software, simulating the change and transmission relation of voltage and current, and helping the system predict the running condition of the power equipment in different working states and the capability of the system to respond to various scheduling instructions. And (3) further carrying out data analysis on the data obtained through the simulation processing by the system and generating corresponding power equipment image information. Such image information may include a schematic layout of the power device, a graph of voltage versus current changes, a real-time display of device status, etc. The image information can intuitively display the working state and layout condition of the power equipment, and help operators to better understand and grasp the operation condition of the whole power system. And finally, according to the generated power equipment image information, the system can feed back the real-time running state, the data analysis result and the corresponding scheduling instruction execution condition to the second terminal equipment. Meanwhile, according to practical situations, the system may need to adjust and optimize the power equipment to meet the real-time requirements of the power system.
By means of the arrangement, the real-time monitoring and visual display of the power equipment can be achieved through dynamic simulation processing and generation of the power equipment image information. An operator can know the layout condition of the power equipment and the change of voltage and current through the image information of the power equipment, and intuitively grasp the running state of the power system. This helps to find problems in time, respond quickly, and take appropriate action to improve the stability and safety of the power system. By dynamically simulating layout data and voltage-current relationship data of the power equipment, fault diagnosis and prediction can be performed. The system can analyze the image information of the power equipment, detect abnormal conditions and predict possible faults, help operators to take measures in advance, reduce the influence of the faults on the power system, and improve the reliability and maintenance efficiency of the equipment. The power equipment image information obtained through dynamic simulation processing can provide support for scheduling optimization and decision making of a power system. An operator can perform load balancing scheduling according to the layout of the power equipment and the change conditions of voltage and current, so that the energy utilization efficiency of the power system is optimized.
And S300, performing dynamic simulation according to the power buffer equipment information to obtain the power buffer equipment image information. Wherein the power buffer device image information includes power buffer device current path image information and power buffer device voltage image information.
It is understood that the physical parameters and the operation state information of the power buffering device are obtained, including various parameters such as current, voltage, power, and the like. Such information may be obtained by sensors, monitoring systems, etc. The power system simulation software is utilized to model and simulate the power buffer equipment so as to simulate the operation process of the power buffer equipment and obtain the change condition of various parameters, and the topology structure, the connection mode, the control strategy and the like of the power buffer equipment can be set in the simulation software. According to the simulation result, generating the current path image information of the power buffering equipment, and drawing a path diagram of the current of the power buffering equipment in the equipment by utilizing data output by simulation software so as to show the flow direction and distribution condition of the current. And generating voltage image information of the power buffering equipment according to the simulation result. The data output by the simulation software can be used for drawing the image information of the internal voltage distribution condition of the power buffer equipment so as to show the change and distribution condition of the voltage. And integrating and processing the generated image information of the power buffering equipment to obtain final image information of the power buffering equipment, and optimizing and beautifying the image through image processing software to ensure that the image is more readable and visual.
By means of the dynamic simulation and emulation of the power buffer equipment, the operation condition of the power buffer equipment can be clearly known, the fault cause is analyzed, and the system design and management scheme is optimized. By dynamically simulating and simulating the power buffering equipment, the running state and the characteristics of the power buffering equipment can be analyzed so as to be better regulated and controlled, and therefore the management efficiency of the power buffering equipment is improved. By dynamically simulating and simulating the power buffer equipment, faults and anomalies of the power buffer equipment can be found in time, so that measures are taken in time to repair and maintain, and the maintenance cost is reduced. By generating the current path image information and the voltage image information of the power buffering equipment, the information of the power buffering equipment can be displayed more intuitively, and people can understand and research conveniently. Meanwhile, an important reference basis can be provided for the design, transformation and upgrading of the power system. The current path and the voltage distribution condition of the power buffer equipment can be obtained by carrying out dynamic simulation and emulation on the power buffer equipment, so that the load characteristic and the stability of the power system are analyzed, the optimization adjustment is carried out, and the management efficiency and the stability of the power system are improved.
And S400, the power equipment image information and the power buffer equipment image information are sent to the second terminal equipment, and first management information which is fed back by the second terminal equipment and used for managing the power equipment is obtained.
It will be appreciated that, first, the power device image information and the power buffer device image information may be encoded in digital form and transmitted to the second terminal device via a network transmission protocol such as TCP/IP. This may be by way of data transfer using network communication techniques such as HTTP or FTP. And after receiving the transmitted image information, the second terminal equipment decodes and processes the image information and converts the image information into visualized image data. The second terminal device analyzes the received image information using image processing techniques to extract useful features and data. And then, generating corresponding management information according to the analysis result. The second terminal device sends the analyzed management information to the first terminal device through the network transmission protocol, wherein the management information can include the running state of the device, abnormal conditions, suggested adjustment parameters and the like. And after receiving the management information sent by the second terminal equipment, the first management equipment performs corresponding processing and decision making. According to the fed-back management information, the management of the power equipment can be adjusted, optimized and subjected to fault treatment.
So set up, through with power equipment image information and power buffer equipment image information transmission to second terminal equipment, can carry out remote monitoring and management to power equipment in any position, need not the manual work to the scene inspection, improved monitoring efficiency and management effect. The second terminal equipment can analyze the received image information of the power equipment and the image information of the power buffer equipment in real time, extract useful characteristics and data, generate corresponding management information according to analysis results, and realize intelligent and automatic management and fault diagnosis of the power equipment. Through remote monitoring and management, abnormal conditions and faults of the power equipment can be rapidly found, measures are timely taken to repair and maintain, and operation and maintenance cost is reduced. Meanwhile, the operation parameters of the equipment can be optimized, the performance and the service life of the equipment are improved, and the maintenance cost is further reduced. The remote monitoring and management not only reduces manual inspection and maintenance, but also provides faster and more accurate data and management information, and can help management personnel to make decisions faster and improve working efficiency. Through real-time monitoring and management, the power equipment can be timely adjusted and optimized, the stability and reliability of a power system are improved, the probability of accidents is reduced, and the safety and stability of power supply are ensured.
In one possible implementation, referring to fig. 3, S400, after transmitting the power device image information and the power buffer device image information to the second terminal device, includes:
and S410, the second terminal equipment displays the relative relation between the corresponding power equipment and the power buffer equipment in a three-dimensional diagram according to the received layout image information. Wherein the relative relationship includes a relative positional relationship between the power device and the power buffer device, and an electrical connection relationship between the power device and the power buffer device.
It is understood that the second terminal device first parses the received layout image information, extracts the position information of the power device and the power buffer device contained therein, and the electrical connection relationship therebetween. The second terminal device may model the power device and the power buffer device in the virtual space using a three-dimensional modeling technique according to the parsed location information. Each device may be represented as a three-dimensional object having geometric and positional properties. According to the resolved relative position information, the second terminal device can apply the relative position relation between the power device and the power buffer device to three-dimensional modeling. This may be achieved by adjusting the position and rotation of the device in virtual space. For example, if the layout image information shows a horizontal connection between two devices, then in three-dimensional modeling, the positions of the two devices may be adjusted to be horizontally adjacent. According to the analyzed electrical connection relation information, the second terminal device can draw the electrical connection relation between the power device and the power buffer device in three-dimensional modeling. This may be indicated by drawing appropriate wires or cables between the devices. Finally, the second terminal device can present the modeling result in a three-dimensional graph form, so that a user can observe the relative relationship between the power device and the power buffer device. This can be achieved by rendering a three-dimensional scene on one display screen and interacting and navigating as needed.
By the arrangement, through the three-dimensional graph presentation, a user can intuitively see the relative position relationship and the electrical connection relationship between the power equipment and the power buffer equipment. The visual display mode is easier to understand than the plan view or the text description, and is helpful for a user to quickly grasp the overall layout and connection condition. The three-dimensional graphic presentation can help a user to more accurately locate a connection problem or a fault point between the power equipment and the power buffer equipment, and improve the efficiency of fault diagnosis. When maintenance or repair is needed, the clear three-dimensional graph can guide maintenance personnel to accurately find equipment and operate, so that maintenance cost is reduced. Based on the presentation of the three-dimensional graphics, the user can make planning and decisions better. For example, when newly building a power device or adjusting a layout, feasibility and influence of different schemes can be intuitively evaluated through three-dimensional graphics, and decision making is assisted. For training and education of the power system, the three-dimensional graphic presentation can provide a vivid and visual learning mode, so that learners can better understand the relationship between the power equipment, and the understanding of the working principle of the power system is deepened. Three-dimensional graphic presentation also provides a powerful tool for data analysis and visualization. The user can analyze the data through the interactive three-dimensional graphical interface to find potential association and rules, so that the layout and connection mode of the power equipment are optimized.
S420, obtaining electromagnetic interference data reflecting the electromagnetic interference condition between the power equipment and the power buffering equipment according to the relative position relation between the power equipment and the power buffering equipment, the electric connection relation between the power equipment and the power buffering equipment and the current path image information of the power buffering equipment.
It will be appreciated that it is first necessary to build a suitable electromagnetic interference model describing the electromagnetic interaction and propagation path between the power device and the power buffer device, which may include factors such as electromagnetic radiation, electromagnetic induction, and wire coupling. Electromagnetic field simulation software is used for performing electromagnetic field simulation according to the relative position relation and the electric connection relation between the power equipment and the power buffer equipment. This may simulate the propagation of electromagnetic interference by calculating the processes of electromagnetic radiation, electromagnetic induction, wire coupling, etc. In electromagnetic field simulation, current path information caused by electromagnetic radiation and electromagnetic induction can be acquired. Such current path information may help analyze electromagnetic interference conditions between the power device and the power buffer device, including the source, path, and strength of the current, etc. Based on electromagnetic field simulation results and current path analysis, data reflecting electromagnetic interference conditions can be extracted. Such data may include indicators of electromagnetic radiation power, electromagnetic induction voltage, galvanic coupling, and the like. By analyzing and interpreting the extracted interference data, the electromagnetic interference situation between the power equipment and the power buffering equipment can be evaluated. This may include information on the frequency range, intensity level, interference path, etc. of the interference.
By means of the arrangement, through analysis of electromagnetic interference data, the electromagnetic interference condition between the power equipment and the power buffer equipment can be known, so that the relative position and the electric connection relation of the power equipment and the power buffer equipment are optimized, electromagnetic interference is reduced, and the stability and the reliability of the whole power system are improved. When a fault occurs between the power equipment and the power buffer equipment, the problem can be rapidly positioned according to the electromagnetic interference data, so that maintenance personnel are guided to rapidly remove and maintain the fault, the downtime is shortened, and the loss is reduced. By analyzing the electromagnetic interference data, an electromagnetic interference problem between the power device and the power buffer device can be found. By analyzing the electromagnetic interference data, the electromagnetic compatibility problem of the power equipment and the power buffer equipment can be known, so that measures can be taken pertinently to optimize, and the anti-interference capability and the immunity of the power system are improved. By collecting electromagnetic interference data, the electromagnetic interference condition between the power equipment and the power buffer equipment can be monitored and tracked in real time, potential problems can be found and processed in time, and the efficiency and the accuracy of equipment management are improved.
And S430, the second terminal equipment performs electromagnetic interference elimination on the image information reflecting the relation between the voltage and the current of the power equipment according to the received image information of the power equipment to obtain a first voltage fluctuation image.
It will be appreciated that electromagnetic interference data is analyzed to understand the frequency range, amplitude variation, time domain characteristics, etc. of electromagnetic interference. The main component of electromagnetic interference and the degree of influence on the image information of the power equipment are determined. Based on the electromagnetic interference characteristics, an appropriate electromagnetic interference model is established, and the model describes the influence mechanism of electromagnetic interference on the image information of the power equipment. This includes electromagnetic radiation, electromagnetic induction, and wire coupling, among other factors. And carrying out electromagnetic interference elimination on the received image information of the power equipment by using an electromagnetic interference model. The influence of electromagnetic interference can be reduced by means of adjusting the working parameters of the power equipment, adding a filter, optimizing a signal processing algorithm and the like. After electromagnetic interference cancellation, a first voltage fluctuation image is extracted from the processed power equipment image. This is the image information of the relation between the voltage and the current of the power equipment after electromagnetic interference cancellation.
By means of the arrangement, through eliminating electromagnetic interference, accuracy and reliability of the first voltage fluctuation image are improved, accurate analysis of the voltage and current relation of the power equipment is facilitated, and more reliable data support is provided for monitoring and control of the power system. The first voltage fluctuation image after electromagnetic interference is eliminated can more clearly reflect the running state of the power equipment, is favorable for timely finding out the abnormal fluctuation condition of the power equipment, and therefore accuracy and efficiency of fault diagnosis are improved. The elimination of electromagnetic interference can reduce noise interference in the power system, reduce external interference to the power equipment, and help to improve stability and reliability of the whole power system. The clear first voltage fluctuation image is beneficial to monitoring the running condition of the power equipment in real time, provides more accurate data support for real-time control and adjustment of the system, and is beneficial to optimizing the running efficiency of the system. The voltage fluctuation image after electromagnetic interference is eliminated is more in line with the actual situation, erroneous judgment caused by electromagnetic interference can be reduced, and the accurate sensing capability of the system on the state of the power equipment is improved.
S440, the absorption fluctuation data and the release fluctuation data in the power buffer equipment voltage image information are overlapped to a preset power equipment voltage fluctuation image selected and adjusted by equipment maintenance personnel, and a second voltage fluctuation image is obtained. The method comprises the steps that absorption fluctuation data are overlapped to a preset power equipment voltage fluctuation image selected and adjusted by equipment overhaulers, the suppression of fluctuation is shown, and release fluctuation data are overlapped to the preset power equipment voltage fluctuation image selected and adjusted by the equipment overhaulers, and the enhancement of fluctuation is shown.
It is understood that the voltage fluctuation image information of the power buffer device is acquired by the first terminal device, and the absorption fluctuation data and the release fluctuation data thereof are extracted. The equipment maintainer selects the electric equipment to be overhauled according to the actual situation, and adjusts a preset voltage fluctuation image so that the actual running state of the equipment can be reflected more accurately. The absorption fluctuation data is superimposed into a preset voltage fluctuation image, and is represented as suppression of fluctuation. Therefore, the influence of the power buffer equipment on the voltage fluctuation in the power system can be eliminated, and the preset voltage fluctuation image is more accurate. And superposing the release fluctuation data to a preset voltage fluctuation image, wherein the release fluctuation data is expressed as the enhancement of fluctuation. Therefore, the actual running state of the power equipment can be better reflected, and more accurate data support is provided for equipment overhaul. And on the basis of absorbing fluctuation data and releasing fluctuation data, adjusting a preset voltage fluctuation image to obtain a more accurate and reliable second voltage fluctuation image.
By means of the arrangement, the absorption fluctuation data and the release fluctuation data in the voltage image information of the power buffering equipment are overlapped to the preset voltage fluctuation image of the power equipment, the actual running state of the power equipment can be reflected more accurately, and equipment maintenance staff is helped to judge the health condition of the power equipment. By obtaining a more accurate and reliable second voltage fluctuation image, service personnel can take more effective maintenance measures, thereby improving the stability and reliability of the power system. By obtaining a more accurate and reliable second voltage fluctuation image, equipment maintainers can be helped to locate problems faster, reducing maintenance costs and time. By obtaining a more accurate and reliable second voltage fluctuation image, equipment maintainers can be helped to know the running condition of the power equipment more quickly, so that more effective maintenance measures are taken, and the working efficiency is improved.
S450, obtaining preliminary management information for managing the power equipment according to the relative position relation, the first voltage fluctuation image and the second voltage fluctuation image.
It may be understood that the relative positional relationship of each power device, the first voltage fluctuation image and the second voltage fluctuation image that may occur in each power device, and the corresponding management information may be mapped in advance, so as to implement information for solving the problem for the specific power device position, the relative positional relationship that occurs in each power device, the case of the first voltage fluctuation image and the second voltage fluctuation image, and the corresponding preliminary management information, for example, the preliminary management information may include the possible failure cause and maintenance scheme of the power device, the possible failure cause and maintenance scheme of the power buffer device, the connection mode adjustment scheme between the power device and the power buffer device, and the current allocation scheme adjustment. For example, the device location may be associated with corresponding preliminary management information according to location coordinates or other identifiers of the power devices, and certain areas of the relative location relationship, the first voltage fluctuation image, and the second voltage fluctuation image may be marked or divided according to preset rules or analysis results and associated with corresponding preliminary management information.
Thus, by comparing the relative positional relationship of the first voltage fluctuation image and the second voltage fluctuation image, fluctuation characteristic variation of the apparatus in different periods of time can be acquired. This provides more comprehensive device status information, helping management to know the operation of the device. By comparing the first voltage fluctuation image with the second voltage fluctuation image, it can be judged whether the device has an abnormal fluctuation condition. Abnormal fluctuations may indicate that the device is malfunctioning or potentially problematic. And the abnormal fluctuation is discovered and treated early, so that the equipment failure is prevented, and the reliability of the power system is improved. The preliminary management information may provide valuable references for equipment maintenance planning and decision making. Through analysis of the first voltage fluctuation image and the second voltage fluctuation image, the running condition and the change trend of the equipment can be known, so that reasonable maintenance plans and decisions are formulated, and the reliability and maintenance efficiency of the equipment are improved. The preliminary management information may provide quantitative indicators regarding the status of the device, helping the manager evaluate the performance and reliability of the device. Accurate management information is helpful for optimizing resource allocation and investment decision, reasonably distributing maintenance resources, improving maintenance efficiency and reducing cost.
In one possible implementation, referring to fig. 4, S450, obtaining preliminary management information for managing the power device according to the relative positional relationship, the first voltage fluctuation image and the second voltage fluctuation image includes:
s451, performing image coverage on the preset power equipment voltage fluctuation image and the first voltage fluctuation image which are selected and adjusted by equipment maintenance personnel to obtain a first significant area, and displaying the first significant area on second terminal equipment. The first significant area comprises a difference area between the first voltage fluctuation image and a preset power equipment voltage fluctuation image selected and adjusted by an equipment maintainer.
It can be understood that a plurality of preset power equipment voltage fluctuation images can be preset according to basic information such as the model and the type of the power equipment, the possible fault reasons of the power equipment and the corresponding voltage fluctuation conditions of the power equipment, but because the actual operation process of the power equipment can be influenced by external factors such as the actual position and the placement mode (such as whether the power equipment is a hidden power equipment) and the power matching mode between the power buffering equipment, an equipment maintainer can select the preset power equipment voltage fluctuation image which is most suitable for the current power equipment condition from a database and adjust the preset power equipment voltage fluctuation image, and the power equipment voltage fluctuation image obtained after adjustment is an image reflecting the actual normal operation process of the current power equipment, and then the image coverage processing is carried out. When the selected and adjusted preset voltage fluctuation image of the power equipment and the first voltage fluctuation image are subjected to image coverage, for example, an image processing software or a superposition function or algorithm in a programming environment can be used for superposing the two images together, and the first significant region is obtained by image segmentation or extraction of the superposed images. The first significant region may be a region in which the voltage fluctuation range of the voltage fluctuation image exceeds the voltage fluctuation range of the preset power equipment voltage fluctuation image after the selection and adjustment. The power equipment working condition and fault cause can be further confirmed by equipment overhauling staff.
By the arrangement, the first significant area comprises the difference area generated by comparing the first voltage fluctuation image with the preset voltage fluctuation image, and the mode can provide more visual data display, so that management personnel can more easily understand and analyze the operation condition of the power equipment. The first significant region can help the manager quickly identify abnormal fluctuations in the power equipment. By comparing the preset voltage fluctuation image with the actual voltage fluctuation image, the first significant area can display the difference between the preset voltage fluctuation image and the actual voltage fluctuation image, so that a manager can perceive the abnormal condition of the equipment at the first time. The first significant area can help the manager to better understand the operating conditions of the equipment, thereby better formulating and optimizing equipment maintenance plans. By periodically comparing the preset voltage fluctuation image with the actual voltage fluctuation image, the equipment fault or abnormal condition can be found in time, and measures are taken in advance to avoid equipment damage or overlong downtime. The first significant area can help the manager to more efficiently manage the power devices. Through visual data display and rapid recognition of abnormal fluctuation, management staff can take corresponding measures faster, management efficiency is improved, and influence of equipment faults on a power system is reduced to the greatest extent. The first significant area can help the manager to better understand the operation state of the equipment, avoid unnecessary maintenance or replacement of the equipment, thereby reducing maintenance cost and improving reliability and stability of the power system.
S452, corresponding absorption fluctuation data and release fluctuation data are obtained from the image information of the power buffering equipment according to the corresponding salient period of the first salient region. The absorption fluctuation data is the data of the voltage of the power equipment corresponding to the relative position relation absorbed by the power buffer equipment, and the release fluctuation data is the data of the voltage of the power equipment corresponding to the relative position relation released by the power buffer equipment.
It will be appreciated that it is desirable to ascertain which power buffering devices are in a relative positional relationship with the power devices within the first significant region. And determining the association between each power buffer device and the corresponding power device according to the system topology structure and the device connection relation. The acquisition of fluctuation data from the image information of the power buffering device can be realized by a sensor of the monitoring device or a data acquisition system. These devices are typically capable of providing data, such as voltage and current, of the power buffering device. And extracting corresponding image information of the power buffering equipment according to the relative position relation of the power equipment in the first significant area. And analyzing absorption fluctuation data in the image information of the power buffering equipment according to the relative position relation of the power equipment in the first significant area. The absorption fluctuation data indicates that the power buffer device absorbs voltage data of the power device corresponding to the relative positional relationship. According to the working principle and the characteristics of the power buffering equipment, the fluctuation absorption data can be obtained by calculating or analyzing the voltage data absorbed by the power buffering equipment at the corresponding position. Likewise, release fluctuation data in the power buffer device image information is analyzed according to the relative positional relationship of the power devices within the first significant region. The release fluctuation data indicates voltage data that the power buffer device releases to the power device corresponding to the relative positional relationship. According to the working principle and characteristics of the power buffering equipment, the release fluctuation data can be obtained by calculating or analyzing the voltage data released by the power buffering equipment at the corresponding position.
By means of the arrangement, accurate monitoring of the power system can be achieved through acquiring and analyzing the absorption fluctuation data and the release fluctuation data in the image information of the power buffer equipment. For the power equipment in the first significant area, the voltage fluctuation condition of the power equipment can be known in real time, and corresponding control and adjustment can be further made. By acquiring and analyzing the absorption fluctuation data and the release fluctuation data in the image information of the power buffering device, the energy supply and demand relationship in the power system can be balanced better. The power buffering device may absorb excess electrical energy during peak demand periods and then release this energy when needed, thereby maximizing energy utilization. The use of power buffering devices may reduce power consumption in the power system. By acquiring and analyzing the absorption fluctuation data and the release fluctuation data in the image information of the power buffer device, the problem of electric energy loss in the power system can be timely found and processed, so that the system loss is reduced to the greatest extent. By acquiring and analyzing the absorption fluctuation data and the release fluctuation data in the image information of the power buffer device, problems in the power system can be found out in time and processed. This helps to improve the reliability of the power system and reduce the risk of blackout.
And S453, performing image coverage on the second voltage fluctuation image and the first voltage fluctuation image to obtain a second significant region, and displaying the second significant region on the second terminal equipment. The second significant region comprises a different region and a similar region of the second voltage fluctuation image and the first voltage fluctuation image, and a region which absorbs fluctuation data and releases the influence of the fluctuation data on the voltage fluctuation of the power equipment.
It will be appreciated that when the first voltage fluctuation image and the second voltage fluctuation image are subjected to image coverage, the second salient region can be obtained by performing image segmentation or extraction on the superimposed image. The second salient region reflects the deviation condition characteristics of the voltage fluctuation of the first voltage fluctuation image and the second voltage fluctuation image in a certain region. If the voltage fluctuation of the second significant region is different from the voltage fluctuation of the very few regions, the power buffer device is in a normal operation state. And if the voltage fluctuation of the second significant region is different in a plurality of regions, indicating that the power buffer device is in an abnormal operation state.
By thus arranging, by overlaying the second voltage fluctuation image with the first voltage fluctuation image, it is possible to intuitively display a different region and a similar region of the second significant region. Such visual analysis helps the user to better understand the voltage fluctuations in the power system and the relationships between the different areas. By observing different and similar areas of the second significant area, a possible problem or abnormality can be found. For example, if there is a distinct zone in the second significant zone, this may mean that the power equipment in that zone is malfunctioning or abnormal, requiring further diagnosis and processing. By correlating the absorption fluctuation data and the release fluctuation data with the second significant region, a specific region affecting the voltage fluctuation of the power device can be determined. The method is favorable for fine regulation, and related power equipment is controlled and regulated in a targeted manner so as to improve the stability and reliability of the power system. By monitoring the influence of the absorption fluctuation data and the release fluctuation data in the second significant region on the voltage fluctuation of the power equipment, the potential risk of failure can be found in advance. This helps to take corresponding precautions, avoid the occurrence of faults, and ensure the normal operation of the power system.
And S454, obtaining preliminary management information for managing the power equipment according to the relative position relation, the first significant area, the second significant area and the mapping relation among preset management information.
It may be appreciated that the location of each power device, various first significant areas where each power device may appear, various second significant areas where each power device may appear, and corresponding management information may be mapped in advance, so as to implement information for solving the problem for the location of a specific power device, and the situations of the first significant areas and the second significant areas where the location of each power device appears, where the corresponding preliminary management information may include, for example, a cause and a maintenance scheme of a possible failure of the power device, a cause and a maintenance scheme of a possible failure of the power buffer device, a connection mode adjustment scheme between the power device and the power buffer device, and a current allocation scheme adjustment. For example, the device location may be associated with corresponding preliminary management information according to location coordinates or other identifiers of the power device, and the first significant region and the second significant region may be marked or divided according to a preset rule or analysis result and associated with corresponding preliminary management information.
By setting up the mapping relation among the relative position relation, the first significant area, the second significant area and the preset management information, the automatic management of the power equipment can be realized. The system can automatically control and adjust according to the position relation and fluctuation condition of different electric power equipment, reduces manual intervention, and improves management efficiency. By fine design and optimization of the relative positional relationship, the first significant region, the second significant region, and the mapping relationship between the management information, the management accuracy can be improved. The system can more accurately identify and position the power equipment and can control and adjust the power equipment in a targeted manner, so that the function of the power equipment is played to the greatest extent. Through automatic management and improvement of management precision, the management efficiency of the power equipment can be effectively improved. The system can be regulated and controlled in real time according to different fluctuation conditions and obvious areas, so that the stable operation of the power system is ensured, and the management efficiency is improved. Through careful analysis and design of the relative position relationship, the first significant region, the second significant region and the mapping relationship among the management information, the system can better balance the energy supply and demand relationship in the power system, and avoid the occurrence of energy waste phenomenon.
S460, generating final first management information for managing the power equipment according to the modification of the preliminary management information by the equipment maintainer, and sending the first management information to the first terminal equipment.
It will be appreciated that the preliminary management information may be presented to the service personnel so that the service personnel may modify or supplement the current power equipment and the corresponding power buffering equipment according to their actual conditions. The maintainer can adjust possible failure reasons and maintenance schemes of the power equipment, possible failure reasons and maintenance schemes of the power buffer equipment, adjustment schemes of connection modes between the power equipment and the power buffer equipment, adjustment schemes of current distribution schemes and the like in the preliminary management information according to actual conditions, so that the adjusted management information is more suitable for actual operation conditions of the current power equipment and the corresponding power buffer equipment, and can update states, maintenance records or other related information of the equipment to integrate and generate final management information, so that the final management information is transmitted to the first terminal equipment later, and a user can solve problems according to the final management information to manage the power equipment.
The first management information modified by the equipment maintainer is sent to the first terminal equipment, so that real-time and verified accurate management information can be provided in time. The power equipment monitoring system is beneficial to management personnel to monitor and manage the power equipment in real time, and the operation condition of the equipment is better known. By sending the first management information to the first terminal device, the manager can realize remote monitoring and operation of the power device. They can check the information of the state, performance and operation index of the equipment through remote access terminal equipment, and further analyze and judge the health condition of the equipment so as to take corresponding measures. The sending of the first management information may provide an important basis for the formulation of the equipment maintenance plan. The manager can conduct data analysis and trend prediction according to the received information, and identify the failure mode and abnormal trend of the equipment, so that maintenance plans are optimized, maintenance work is reasonably arranged, and equipment failure risk is reduced. By sending the first management information to the first terminal device, a manager can timely learn the state change and abnormal conditions of the device. When faults or anomalies occur, the system can quickly respond, appropriate measures are taken to carry out fault treatment, the downtime is reduced, and the availability and the stability of the power system are improved. The first management information is used for remote monitoring and operation, so that the management efficiency is improved and the cost is reduced. The manager can know the running state of the equipment in time, adjust and optimize the equipment when necessary, avoid unnecessary maintenance and repair, and save resources and cost.
S500, according to the image information of the power equipment, working condition data of the power equipment are obtained. The power equipment working condition data comprise working condition data reflecting that the power equipment is in a working state.
It will be appreciated that the power device typically has a communication interface, such as ethernet, serial, modbus, profibus, etc., through which the first terminal device may communicate with the power device to obtain real-time power device information. Various sensors, such as a temperature sensor, a pressure sensor, a current sensor and the like, can be installed in the power equipment, the sensors are used for collecting working condition data of the power equipment in the operation process of the power equipment, the sensors are electrically connected with the first terminal equipment, and the collected data reflecting the actual conditions of the power equipment in the operation process of the power equipment can be transmitted to the first terminal equipment in real time for analysis and storage. By inquiring or subscribing specific data points, the first terminal device can acquire information reflecting the actual condition of the power device, such as current, voltage, power, state and the like in the operation process of the power device in real time.
The power equipment working condition data are acquired, so that the power equipment working condition data can be used for monitoring equipment in real time and detecting faults, abnormal conditions and faults of the power equipment can be found in time, timely maintenance measures can be taken, and management of the power equipment is facilitated. The working condition data of the power equipment can provide working parameters and state information of the power equipment, and a preventive maintenance plan can be formulated by analyzing and comparing the data, so that the management of the power equipment is further facilitated. The working condition data of the power equipment can contain energy consumption data, can be used for energy management and optimization, can identify the problems of energy waste and low efficiency by analyzing the energy consumption condition of the equipment, and adopts corresponding energy-saving measures, so that the energy utilization efficiency is improved, and the energy consumption and the cost are reduced.
S600, working condition data of the power buffering equipment are obtained according to the image information of the power buffering equipment. The power buffer device working condition data comprise data reflecting that the power buffer device absorbs electric energy of the power device in a working state and data reflecting electric energy released to the power device.
It is understood that the information in the operation process of the power buffering device can be acquired in real time by using a sensor, a monitoring device or a data acquisition system, and the like, so that the power buffering device information comprising the working condition data of the power buffering device can be acquired. The power buffer device working condition data reflects key data variables and indexes for absorbing and releasing electric energy in the operation process of the power buffer device. For example, parameters such as input power, output power, current, and voltage of the power buffering device may be used to reflect the absorption and release of electrical energy by the power buffering device. The acquired power buffer device information comprising the power buffer device working condition data can be transmitted to a database or a data storage system of the first terminal device in real time, and a real-time data stream can be established or data can be recorded periodically.
By the arrangement, the information about the real-time condition and performance of the power buffer equipment during operation can be provided by acquiring the working condition data of the power buffer equipment. The method is beneficial to the follow-up analysis of the data of the electric energy absorption and release of the electric power buffer equipment, and the indexes such as the energy conversion efficiency, the power loss and the like of the electric power buffer equipment can be evaluated. This helps to find potential performance improvement points and thus facilitates management of the power equipment. Through obtaining power buffer equipment data, can help the user to carry out energy management and planning, simultaneously, can be according to the condition that power buffer equipment absorbed and released the electric energy, adjust and optimize energy supply and demand to ensure power equipment's operation, further do benefit to the management to power equipment.
And S700, obtaining second management information for managing the power equipment according to the power equipment working condition data and the power buffer equipment working condition data.
It will be appreciated that the electrical device operating condition data and the electrical buffer device operating condition data may be integrated so that their interactions and effects are considered simultaneously. And the integrated data can be preprocessed, including data cleaning, abnormal value removal, missing data filling and the like, which ensures the accuracy and consistency of the data. Useful features can be extracted from the preprocessed data, for example, for power equipment operating condition data, features such as current, voltage, power factor, etc. of the power equipment are extracted through the first terminal equipment, for example, for power buffer equipment operating condition data, features of absorbing electric energy and releasing electric energy of the power buffer equipment are extracted through the first terminal equipment; the extracted features may then be analyzed and modeled using appropriate data analysis techniques (e.g., statistical analysis, first terminal device learning, etc.). This may help the user to understand the operating conditions, performance metrics, and interrelationships between the power devices and the power buffer devices. Management information for managing the power equipment may be generated according to the results of the data analysis and modeling. This includes status monitoring reports of the electrical equipment, energy utilization evaluations, fault diagnosis reports, optimization recommendations, etc., which will provide real-time equipment operation and management information to the management personnel.
By analyzing the working condition data of the power equipment and the working condition data of the power buffer equipment, the energy utilization efficiency of the power equipment and the power buffer equipment can be estimated. According to the working condition data of the power equipment and the working condition data of the power buffering equipment, the generated management information for managing the power equipment can provide optimization suggestions for a manager, for example, the energy consumption of the power equipment is reduced to improve the energy utilization efficiency, and the management of the power equipment is further facilitated. For example, optimizing energy management strategies (storing excess electrical energy from the power plant to the power buffer plant, which may also transfer the stored electrical energy to the power plant with greater power demand) may facilitate management of the power plant.
In one possible implementation, referring to fig. 5, S700, obtaining second management information for managing the power device according to the power device operating condition data and the power buffer device operating condition data includes:
s710, carrying out power matching processing on the power equipment working condition data and the power buffer equipment working condition data to obtain power matching information. The power matching information is used for reflecting power matching conditions between the power equipment and the power buffering equipment.
It can be appreciated that the first terminal device may preprocess the power device operating condition data (e.g., information data such as power consumption, voltage, current, etc. during operation of the power device) and the power buffer device operating condition data (e.g., information data such as storage of power during operation of the power buffer device, and state of release of power, etc.), which may include data cleaning, outlier processing, etc., to ensure accuracy and reliability of the data. The processed power device operating mode data may be matched with the power buffer device operating mode data, for example, a time axis, power data, other shared key data fields, and the like may be used to correlate the two data. And carrying out power matching processing according to the matched data, wherein a specific processing method can be selected according to the characteristics and requirements of the power equipment and the power buffer equipment. For example, an energy matching algorithm, an electrical energy power balancing algorithm, or an optimization model-based matching algorithm, etc. may be employed. And generating power matching information according to the result of the matching process. This may be a comprehensive index or a combination of indices. For example, an energy match, a power match, or an efficiency index between the power device and the power buffer device may be calculated.
By means of the arrangement, the power equipment working condition data and the power buffer equipment working condition data are subjected to power matching processing, so that the energy supply and demand relation between the power equipment and the power buffer equipment can be coordinated better, and efficient utilization of energy is achieved. The power matching information can help determine a proper power storage and release strategy, reduce energy waste and loss, and facilitate management of the power equipment. The power matching information may reflect a degree of matching between the power device and the power buffering device (e.g., whether the power buffering device is capable of absorbing excess power of the power device and whether the power released to the power device is capable of satisfying normal operation of the power device), thereby helping to evaluate stability of the power system. The power matching condition is optimized according to the power matching information, the power fluctuation can be reduced, the power load is balanced, the reliability and the stability of the power system are improved, and the management of power equipment is facilitated. Through reasonable matching power equipment and power buffer equipment, can reduce to a certain extent to external power supply's dependence, rational utilization power buffer equipment, like battery energy storage system can provide reserve power under the power supply is not enough or unstable circumstances, increases power system's independence and sustainability, does benefit to the management to power equipment.
Optionally, referring to fig. 6, S710, performing power matching processing on the power device working condition data and the power buffer device working condition data to obtain power matching information, including:
s711, acquiring a voltage difference value of the power equipment in a working state according to the working condition data of the power equipment. The voltage difference comprises the difference between the voltage of the power equipment in the power utilization peak period and the voltage in the stable operation in the working state and the difference between the voltage of the power equipment in the power utilization valley period and the voltage in the stable operation in the working state.
It is understood that the power device operating condition data may include voltage, current, time stamp, and other related parameters corresponding to different operating times. The power equipment working condition data can be preprocessed, including data cleaning, outlier processing, data normalization and the like, so that the quality and usability of the data are ensured. And calculating the average value or the peak value of the voltage in the electricity utilization peak period according to the working condition data of the electric power equipment so as to obtain the voltage value of the electric power equipment in the electricity utilization peak period. In general, a peak electricity consumption period refers to a period of time during which an electric device is loaded with a large load, such as a daytime operating time. And meanwhile, calculating an average value or a peak value of the voltage in the electricity consumption valley period according to the working condition data of the electric equipment so as to obtain a voltage value of the electric equipment in the electricity consumption valley period. In general, the electricity consumption valley period refers to a period of time in which the load of the electric device is small, such as an operation time in the night. The average or steady value of the voltage of the electrical device during steady operation may be calculated from the electrical device operating condition data. The steady-running voltage refers to the voltage level of the power equipment in the case where the load is relatively steady. According to the voltage values in the power consumption peak period and the steady operation, calculating a voltage difference value, and performing the same steps to calculate the difference value between the voltage in the power consumption valley period and the voltage in the steady operation. The result analysis and presentation can be performed according to the calculated voltage difference, for example, a change curve of the voltage difference can be generated, and the average value or peak value of the voltage difference in different time periods can be statistically analyzed. Such analysis of the results may help the manager to understand the voltage variation of the power equipment during peak and valley periods of power consumption, and the differences from steady operation.
The voltage difference value of the power equipment in the operation process is obtained through the working condition data of the power equipment, and the voltage fluctuation condition of the power equipment in the power utilization peak period and the power utilization valley period can be reflected. The voltage stability of the power device under various load conditions and the power supply capacity of the power buffer device are known by analyzing the voltage difference, which may mean that the device cannot provide a sufficiently stable power supply during high load periods if the voltage difference is too large. By analyzing the voltage difference, the voltage demand differences of the device over different load periods can be determined. The power dispatching method is favorable for optimizing power dispatching, reasonably distributing power resources, avoiding damage to equipment and users caused by too high or too low voltage, and further facilitating management of the power equipment. And the voltage difference value can provide voltage demand change information of the power equipment under different load conditions, and through analysis of the voltage difference value, the voltage problem possibly occurring in the power equipment in the power utilization peak period or the valley period can be detected, so that the operation and maintenance of the power equipment are facilitated, potential voltage anomalies are timely processed, the reliability and the operation life of the equipment are improved, and the management of the power equipment is further facilitated.
S712, obtaining buffer data according to the working condition data of the power buffer equipment. The buffer data comprises data of voltage absorbed by the power buffer device in an operating state and data of voltage released to the power device.
It will be appreciated that the power buffer device operating condition data may include parameters such as voltage, current, and time stamps at which the power buffer device absorbs and releases the power device. The period of time for absorbing power and releasing power, which is the period of time for the power buffering device to absorb power from the power device, may be determined according to the operating principle and operating strategy of the power buffering device. And extracting voltage data in the power absorption period from the acquired power buffer equipment working condition data. These data reflect the voltage change of the power buffering device as it absorbs power from the power device. Likewise, from the acquired power buffer device operating mode data, voltage data within a power release period is extracted. These data reflect the voltage change of the power buffer device when it outputs power to the power device. The absorption and release voltage data are analyzed through the power buffer device, and the average value, the peak value or other statistical indexes of the absorption voltage data and the release voltage data can be calculated to obtain buffer data, wherein the buffer data can reflect the voltage change condition of the power buffer device in the process of absorbing and releasing power in the running process. For example, it may be determined that the power buffering device plays a role in balancing voltage fluctuations during high load, based on the data of the power buffering device absorption voltage, and that the power buffering device provides support for voltage recovery during low load, based on the released voltage data.
The power compensation condition of the power buffer equipment when absorbing the voltage of the power equipment and the voltage maintenance condition of the power buffer equipment when releasing power to the power equipment can be known through buffering data, the capability of the power buffer equipment for absorbing the voltage and releasing the voltage under different load conditions can be known, further, the follow-up assessment of the load response and the adjustment capability of the power buffer equipment is facilitated, the basis is provided for the load management and the optimization of the power equipment, and the management of the power equipment is further facilitated. Meanwhile, the electric energy magnitude and fluctuation condition of the voltage absorbed and released by the power buffer equipment can be known, so that the effect of the power buffer equipment in the balanced peak-valley period and the energy consumption reduction aspect can be evaluated later, and the management of the power equipment is facilitated.
And S713, matching the voltage difference value of the power equipment in the working state with the buffer data to obtain power matching information.
It can be appreciated that the acquired voltage difference value of the power equipment in the working state and the buffer data can be integrated, for example, data processing software or a database can be used for uniformly managing and storing the data so as to ensure the consistency and traceability of the data. And matching the collected data according to the association relation between the power equipment and the power buffer equipment. For example, the matching may be performed according to information such as the numbers, positions, connection relations, and the like of the power equipment and the power buffer equipment. Meanwhile, according to the matching of the time stamp or the time period, the voltage difference value of the power equipment in the working state in the corresponding time period is matched with the buffer data. And processing the matched voltage difference value and the buffer data (for example, processing can be performed by using a statistical analysis method, model establishment and other technologies) so as to obtain power matching information, for example, comparing the voltage difference value with the size and the change trend of the buffer data, and analyzing the power matching condition between the power equipment and the power buffer equipment so as to obtain the power matching information.
By matching the voltage difference value and the buffer data of the power equipment in the working state, the effect of the power buffer equipment in the process of absorbing and releasing power and the influence of the power buffer equipment on a power system can be evaluated, and the power buffer equipment is helpful to know the performance of the power buffer equipment in the aspects of voltage regulation, system stability enhancement and load response improvement. The matching degree between the voltage difference value and the buffer data (the matching degree between the voltage difference value of the power equipment in the working state and the voltage value which can be stored by the power buffer equipment or the voltage value which can be released by the power buffer equipment is reflected in the buffer data) can be disclosed through matching analysis, so that the load scheduling strategy is facilitated to be optimized, the absorption and release capacity of the power buffer equipment is reasonably utilized, the power supply and demand are balanced, the energy utilization efficiency is improved to the maximum extent, the electricity cost is reduced, and the management of the power equipment is facilitated. By means of matching analysis, whether the voltage difference value of the power equipment in the working state and the buffer data have abnormal fluctuation, abnormal association and other phenomena can be judged, potential problems and power equipment faults can be found in advance, measures are timely taken for maintenance and optimization, downtime and loss are reduced, and management of the power equipment is facilitated. Meanwhile, the power matching information can be used for identifying the conditions of voltage unbalance, power quality problems and the like in the power system, and based on the information, the stability of the power system can be improved, the power supply quality can be improved, and the management of power equipment can be further facilitated.
And S720, obtaining second management information for managing the power equipment according to the power matching information.
It will be appreciated that the usage of the power devices and the power buffer devices may be known, for example, from the degree of power matching and the period of matching in the power matching information, including their run time, load conditions, and the status of the storage and release of electrical energy when the power buffer devices are running. And according to the energy matching degree in the power matching information, the matching condition of the power equipment and the power buffering equipment and the power demand trend of the power equipment, a reasonable power dispatching plan can be formulated (surplus electric energy when the power equipment operates in the valley period is stored in the power buffering equipment, and the electric energy stored in the power buffering equipment can be released to the power equipment with larger electric energy demand so as to meet the normal operation of the power equipment), so that the management information for managing the power equipment is obtained.
By the arrangement, management information for managing the power equipment is obtained, management staff can be helped to better know the operation conditions of the power equipment and the power buffer equipment, problems and anomalies are found in time, and energy management and optimization adjustment are carried out. This helps to increase the efficiency of the power system, reduce energy costs, and thus facilitate management of the power equipment. And, fault early warning and maintenance planning can be provided according to the matching degree change in the power matching information, and when the matching degree is reduced, the fault of the power equipment or the maintenance requirement can be indicated. The management information for managing the power equipment can help monitor the running state of the equipment, provide fault diagnosis and maintenance advice, help management personnel to deal with equipment problems in time, avoid shutdown and production loss, and further facilitate management of the power equipment.
In one possible implementation, referring to fig. 7, S700, according to the power device operating condition data and the power buffer device operating condition data, second management information for managing the power device is obtained, and the method further includes:
s730, acquiring frequency data of input voltage and frequency data of output voltage of the power equipment in a working state according to the working condition data of the power equipment. When the frequency data of the input voltage and the frequency data of the output voltage of the power equipment in the working state cannot be directly obtained according to the working condition data of the power equipment, the frequency spectrum signal data of the power equipment are obtained according to the working condition data of the power equipment. The frequency spectrum signal data comprise waveform data and harmonic data of voltage of the power equipment in a working state. And then performing inverse Fourier transform processing on the frequency spectrum signal data to obtain frequency data of input voltage and frequency data of output voltage of the power equipment in a working state.
It will be appreciated that the power device operational data may include information such as current, voltage, power, time stamps, etc., and that the collected voltage data in the power device operational data may be signal processed, for example, wavelet transformation may be used to analyze the spectral characteristics of the signal. According to the connection mode and the data characteristics of the power equipment, the frequency data of the input voltage can be extracted from the acquired data, for example, the main frequency components can be found by analyzing the frequency spectrum characteristics of the voltage signals, and the corresponding frequency data can be extracted. Similarly, frequency data of the output voltage can be extracted from the acquired data, signal components related to the frequency of the output voltage are found according to the working principle of the power equipment and the characteristics of the output voltage, and corresponding frequency data are extracted to obtain frequency data of the input voltage and the output voltage in the operation process of the power equipment.
In some cases, the power device monitoring system may not have sensors configured or collecting the input voltage and output voltage frequencies, which means that there is a lack of corresponding real-time frequency information in the power device operational data. It is also possible that the power equipment monitoring system may record the operating data at a low sampling rate, and may not accurately capture the frequency variation of the input voltage and the output voltage, and if the sampling rate is too low, may not obtain accurate voltage frequency data. In some cases, the power device monitoring system may not be able to store the frequency data of the input voltage and the output voltage in real time, or the stored data is incomplete, which may be due to capacity limitation of the storage system, data transmission problems, or data processing errors, etc. Also, in some cases, the power device monitoring system may provide limited data processing functions, and frequency analysis and spectrum calculation cannot be performed, which results in that frequency data of the input voltage and the output voltage cannot be directly obtained. Thus, suitable spectrum analysis instruments, such as harmonic analyzers or oscilloscopes, etc., may be selected that provide for measuring and analyzing voltage waveforms and spectrum data of the electrical device. The spectrum analyzer is connected to the input and output circuits of the power equipment to obtain the corresponding signals. Input and output voltage waveform data of the power device is measured using a spectrum analyzer that can record the change in voltage over time and display the waveform data. By means of the function of the spectrum analysis instrument, the recorded voltage waveform data are subjected to spectrum analysis, the instrument automatically calculates and displays the spectrum, and the energy distribution of the voltage signals on different frequencies is reflected. By utilizing the function provided by the spectrum analyzer, harmonic components in the operation process of the power equipment are detected and extracted, and the harmonic components can be determined by the relative size and frequency of peaks on a spectrogram so as to obtain spectrum signal data of the power equipment. For example, spectral analysis of the spectral signal data is required, and a spectral analysis method may be used to convert the power plant operation data into a spectral signal in the frequency domain, resulting in an energy distribution of amplitude and phase over different frequencies. The spectral signal is converted back into a time domain signal by an inverse fourier transform. The formula of the inverse fourier transform is: x (t) = ≡ [ X (f) ×e++2pi jft) ] df, where X (t) represents a time domain signal, X (f) represents a spectrum signal, e represents a base of a natural logarithm, j represents an imaginary unit, t represents time, f represents frequency, and the inverse fourier transform process synthesizes the frequency domain signal into an original time domain signal. The time domain signal obtained by the inverse Fourier transform is preprocessed and interpreted, and processes such as filtering, denoising and the like can be applied to the signal to improve the data quality so as to acquire the frequency information of the input voltage and the output voltage of the power equipment.
The stability and performance of the power equipment can be evaluated by acquiring the frequency data of the input voltage and the output voltage in the operation process of the power equipment, the frequency data of the voltage is an important index of the operation of the power system, the operation state of the power equipment is directly influenced, and the accurate acquisition of the frequency data can help to detect whether the power equipment meets the specified frequency range or not and evaluate the stable operation degree of the power equipment. The abnormal frequency of the voltage is often one of important indexes that the power equipment is failed or is about to happen, the frequency change caused by the power equipment failure can be identified by acquiring the frequency data of the input voltage and the output voltage in the operation process of the power equipment, the equipment failure can be found early, corresponding measures are taken for repair or replacement, the reliability of the power equipment can be improved, the risk of the failure can be reduced, and the management of the power equipment can be facilitated. In addition, the frequency data of the input voltage and the output voltage in the operation process of the power equipment can be accurately acquired, and information about the operation state of the power system can be provided, so that potential problems in the power equipment can be identified, predictive maintenance can be performed, optimization and efficiency improvement of the power system can be realized, and management of the power equipment can be facilitated. By analyzing the frequency data of the input voltage and the output voltage in the operation process of the power equipment, the reason of frequency abnormality in the power system can be found, and corresponding measures are taken to improve the power supply quality. Meanwhile, frequency data of input voltage and output voltage in the operation process of the power equipment can be used for scheduling and load management of the power equipment, particularly under the condition of large load fluctuation of a power system, the operation mode of the power equipment can be timely adjusted and the load scheduling can be optimized by monitoring the frequency change of the input voltage and the output voltage, so that stable operation and load balance of the power equipment are ensured, and the management of the power equipment is further facilitated.
The frequency spectrum signal data can provide detailed information about the operation state of the power equipment, so that potential faults and problems can be diagnosed, and the obtained waveform data and harmonic data can find abnormal conditions such as voltage waveform distortion, harmonic increase and the like, thereby being beneficial to quickly locating fault causes. According to the harmonic data, the existence and the size of harmonic components of the power equipment in the operation process can be known, and according to the harmonic data, corresponding control measures such as a harmonic filter or harmonic suppression equipment can be adopted, so that the influence of the harmonic is reduced, the stability and the performance of the power equipment are improved, and the management of the power equipment is facilitated. The characteristics such as amplitude change and frequency change of the power equipment can be known through the obtained waveform data of the voltage, so that the performance and the working efficiency of the equipment are optimized, the change of the running condition of the power equipment can be found in time through monitoring the waveform data, and corresponding adjustment and optimization are carried out, so that the management of the power equipment is further facilitated. The spectrum signal data is continuously acquired through the spectrum analysis instrument, so that the running condition of the power equipment can be acquired in real time, potential problems and anomalies can be found timely, preventive maintenance and repair can be carried out, faults are avoided, the reliability and safety of the power equipment are improved, and further management of the power equipment is facilitated.
And S740, matching the frequency data of the input voltage and the frequency data of the output voltage of the power equipment in the working state with the frequency data of the input voltage and the frequency data of the output voltage preset in the power equipment information to obtain power equipment load data and power equipment radiation data. Wherein the power device load data includes data reflecting a load condition of the power device in the operating state, and the power device radiation data includes information data reflecting radiation generated by the power device in the operating state.
It can be understood that the power equipment working condition data comprise input voltage and output voltage frequency data in the operation process of the power equipment, and the power equipment information comprises preset input voltage frequency data and output voltage frequency data. The preset frequency data of the input voltage and the preset frequency data of the output voltage in the power equipment information refer to data of the power equipment under normal operation. Matching the input voltage frequency data and the output voltage frequency data in the operation process of the power equipment with preset data in the information of the power equipment can judge whether the input voltage frequency data and the output voltage frequency data are matched or not by comparing whether the actual frequency data and the preset frequency data are within a certain error range or not. According to the matching result, if the input voltage frequency data and the output voltage frequency data in the operation process of the power equipment are successfully matched with the preset frequency data of the input voltage and the preset frequency data of the output voltage, the fact that the voltage frequency ranges presented in the input voltage frequency data and the output voltage frequency data in the operation process of the power equipment are not in the voltage frequency ranges presented in the preset input voltage frequency data and the preset output voltage frequency data, namely faults exist, and the load condition of the power equipment can be analyzed based on the successfully matched data. This may include calculating parameters of power, current, energy consumption, etc. of the electrical device reflecting the load conditions of the electrical device during operation. According to the matching result, the radiation condition generated by the power equipment can be analyzed by using the successfully matched data, and the radiation condition can be obtained by means of acquiring radiation data, measuring radiation intensity and the like, so that the radiation data generated by the power equipment in the operation process can be obtained.
By matching and analyzing the frequency data of the input voltage and the output voltage in the operation process of the power equipment, the operation state and the stability of the power equipment can be known, the load data of the power equipment reflects the load condition of the power equipment in the operation process, and the radiation data of the power equipment reflects the radiation condition (such as electromagnetic radiation condition of the power equipment, heat radiation condition of the power equipment and the like) generated by the power equipment. If the frequency data of the input voltage and the output voltage in the operation of the power equipment have larger deviation from the preset data, the power equipment may be indicated to have faults or other problems, and the obtained power equipment load data and the power equipment radiation data are analyzed subsequently, so that the abnormality or potential faults in the operation of the power equipment can be detected multiply, and the subsequent analysis of whether the power equipment has faults or not is facilitated.
And S750, obtaining second management information for managing the power equipment according to the power matching information, the power equipment load data and the power equipment radiation data.
It will be appreciated that the power matching information may be analyzed, including the relationship, degree of correlation, matching time period, etc. between the voltage difference in operation of the power device and the absorption and release voltages of the power buffer device. Meanwhile, the load data of the power equipment can be comprehensively analyzed, the data of the power equipment in the aspects of load condition, energy utilization efficiency, power consumption change and the like in the operation process can be researched, the load conditions of different time periods can be compared, and the load characteristics and the trend of the equipment can be determined. And the radiation level and the frequency spectrum distribution generated in the operation process of the power equipment can be evaluated according to the radiation data of the power equipment, and the radiation characteristics and the potential risks of the power equipment are determined by considering the change trend of the radiation data. Then, the power matching information, the power device load data and the radiation data may be correlated and comprehensively analyzed, and the influence of the power matching information on the power device load and the power device radiation may be considered, so that correlation between the power device load and the power device radiation is analyzed (for example, the power device may have internal faults or load unbalance and other problems, so that the power load data is abnormal, and whether the power device is faulty or not may be further determined according to the power device radiation data). Based on the result of the comprehensive analysis, management information for managing the power equipment is obtained, and corresponding management strategies and measures are formulated according to the analysis of the power equipment load data and the power equipment radiation data, wherein the management information can comprise equipment load optimization suggestions, equipment maintenance plans and the like. And generating management information for managing the power equipment according to the power matching information, the power equipment load data and the radiation data analysis result. Such information may include operating status of the power device, performance assessment, energy consumption analysis, fault prediction, etc. The information can be presented in the form of report, chart or image, which is convenient for the manager to make decision and optimize.
The management information for managing the power devices obtained through the power matching information, the power device load data and the power device radiation data can provide a load distribution and scheduling strategy for optimizing the power devices. The generated management information for managing the power equipment can also provide guidance on the aspects of the running state, the energy utilization efficiency and the like of the power equipment, so that the performance and the stability of the power equipment are improved, and the management of the power equipment is facilitated. By monitoring and analyzing the load data of the power equipment, abnormal states and load fluctuation in the operation of the power equipment can be found early, potential fault risks are predicted, maintenance and maintenance aiming plans are provided through management information, the power equipment fault prevention is facilitated, the downtime and maintenance cost are reduced, and therefore the management of the power equipment is facilitated. By the generated management information for managing the power equipment, the operation strategy and load distribution of the power equipment can be optimized, and the energy utilization efficiency can be improved. The method is beneficial to reducing energy cost, reducing influence on environment, improving the overall energy management level and further facilitating management of power equipment. The power device radiation data may be used to evaluate a radiation level produced by the power device. Through the generated management information for managing the power equipment, corresponding measures and protective measures can be taken to reduce radiation risk and protect the power equipment from the influence of radiation and the health and safety of personnel, thereby being beneficial to the management of the power equipment. And the acquired management information for managing the power equipment can provide basis for decision and planning of the power equipment, for example, a power dispatching plan, a power equipment updating and reforming plan, a power energy consumption management scheme and the like of the power equipment can be formulated in a targeted manner, equipment problems can be identified in time, downtime is reduced, and the service life and reliability of the equipment are improved.
Optionally, referring to fig. 8, S750, obtaining second management information for managing the power device according to the power matching information, the power device load data, and the power device radiation data includes:
and S751, analyzing and processing the voltage difference value and the buffer data of the power equipment in the working state to obtain first power distribution data.
It will be appreciated that voltage difference data and associated buffer data, such as current, power factor, load conditions, etc., may be collected during operation of the electrical device. These data may be collected in real time by the power plant monitoring system or sensors and ensure that the data has a sufficient time frame and accuracy. And carrying out correlation analysis on the voltage difference data and the buffer data in the operation process of the power equipment, and evaluating the relation strength and the direction between different variables by using a statistical method such as a correlation coefficient, a covariance and the like (for example, whether the voltage value which can be stored by the power buffer equipment is matched with the excessive voltage difference in the operation process of the power equipment is reflected in the buffer data or whether the voltage value which can be released by the power buffer equipment is reflected in the buffer data can meet the voltage difference required in the operation process of the power equipment). Based on the result of the correlation analysis, a mathematical model may be established to predict the relationship between the voltage difference and the buffered data during operation of the electrical equipment, for example, regression analysis, time series analysis, etc. may be used to establish a model and fit the data, and the selection of the model depends on the characteristics of the data and the purpose of analysis. According to the established model, the voltage difference value can be calculated, for example, the voltage difference value and the size and the change trend of the buffer data can be compared, the power matching condition between the power equipment and the power buffer equipment is analyzed (for example, the power buffer equipment can absorb the excessive voltage of the power equipment in the electricity consumption valley period and fill the absorbed voltage in the electricity consumption peak period of the power equipment), so that the related first power distribution data is obtained, and the related first power distribution data may comprise information such as real-time load distribution, current load distribution, power factor and the like of the power equipment. The first power distribution data is data reflecting the matching condition of the electric energy in the running process of the power equipment and the electric energy in the running process of the power buffer equipment.
By analyzing the voltage difference data and the buffer data in the operation process of the power equipment, the information such as voltage stability, current load condition, power factor and the like in the operation process of the power equipment can be obtained. The power equipment monitoring system is beneficial to monitoring the normal running state of the power equipment, finding potential faults or problems in time and facilitating management of the power equipment. By analyzing the voltage difference value and the buffer data in the operation process of the power equipment, the load distribution and the energy demand of the power equipment can be known, so that the distribution strategy of the power is optimized, the power resources are reasonably distributed and scheduled, and the management of the power equipment is facilitated. Analysis of the voltage difference and the buffered data during operation of the electrical device may help identify anomalies in operation of the electrical device, such as voltage fluctuations, current overloads, and the like. By analyzing the data in time, the problems can be rapidly diagnosed and potential faults can be early warned, corresponding maintenance and repair measures are adopted, the risk of power failure or equipment damage is reduced to the greatest extent, and management of the power equipment is facilitated. The actual load condition of the power equipment can be known by analyzing the voltage difference value and the buffer data in the operation process of the power equipment, the power distribution can be adjusted according to the requirements and the changes of the load, the load balance is realized, the power resources are reasonably distributed, the energy waste is reduced, and the energy utilization efficiency is improved.
S752, obtaining the power equipment outage data according to the power equipment load data and the power equipment radiation data.
It will be appreciated that the obtained power plant load data and power plant radiation data may be analyzed and processed, for example, statistical methods, such as threshold determinations, time series analysis, etc., may be used to evaluate whether the overload and radiation levels exceed the safety limits of the power plant, and based on the analysis results, determine whether the power plant needs to be shut down. If the overload and radiation levels exceed the safety limits of the power equipment, outage data needs to be generated for the power equipment to be outage, which may be transmitted to the power equipment by the first terminal equipment and corresponding outage data, such as the power equipment number, outage time, outage cause, and operation data of the power equipment, etc. may be recorded. The power equipment outage data includes data that can indicate that the corresponding power equipment that needs to be shutdown.
By means of the power equipment load data and the power equipment radiation data obtained in real time, the state of the power equipment can be monitored in real time, when overload of the power equipment is found and the radiation exceeds the standard (the power equipment load data and the power equipment radiation data can mutually verify, if only overload is normal, the obtained power equipment load data is possibly abnormal, for example, the power equipment load data is possibly abnormal due to the fact that the collecting equipment or the processing equipment breaks down, and the overload and the heat radiation exceed the standard and simultaneously the power equipment can be judged to break down), the first terminal equipment box sends the outage data to the power equipment, and the power equipment is stopped in time, so that further damage of the power equipment is avoided, the downtime is reduced, possible safety risks and faults are avoided, and management of the power equipment is facilitated. Whether the power equipment fails or not is verified through the power equipment load data and the power equipment radiation data, double confirmation is achieved, the possibility of misjudgment is effectively reduced, and the accuracy of power equipment management can be improved. By monitoring and timely stopping the overloaded power equipment, the power equipment fault can be prevented in advance, and overload and radiation exceeding are often indications of abnormal operation of the power equipment and are often related to internal faults or overload of the load.
And S753, sending the power equipment outage data to the overloaded power equipment, and acquiring outage feedback data.
It will be appreciated that the power plant shutdown data is sent to an overloaded power plant to cause the power plant to be shutdown, and that instantaneous power data (as the power plant changes from operating to shutdown, the flow of power to the power plant in the power system ceases) is generated at the point of power plant shutdown and can be obtained by a power meter or other power measurement device. And at the moment of the shutdown of the power equipment, obtaining the electric energy data at the shutdown moment, and feeding back the shutdown feedback data comprising the electric energy data at the shutdown moment to the first terminal equipment.
By acquiring the outage feedback data, the electric energy released during the outage of the power equipment can be known, so that the energy management strategy (such as a strategy that the power buffer equipment absorbs the electric energy released during the outage of the power equipment) can be conveniently manufactured, and the energy efficiency and the energy loss can be improved.
S754, analyzing and processing the outage feedback data and the buffer data to obtain second power distribution data.
It will be appreciated that the power plant shutdown data and associated buffer data, such as current, voltage, power factor, load conditions, etc., are obtained such that the value of the power that can be stored in the buffer data reflecting the power buffer can be adapted to the value of the voltage released at the instant of power plant shutdown in the shutdown feedback data.
The outage feedback data and the buffer data can be associated, a connection between the two is established, for example, a statistical method, a machine learning algorithm and the like can be used for analysis, whether the electric energy value stored by the power buffer device can store the voltage value released at the outage moment of the power device in the outage feedback data or not is reflected in the buffer data, so that information such as actual distribution condition, voltage load change, current load change, power factor and the like of the power device in the second power distribution process is obtained, and second power distribution data is obtained. The second power distribution data is data reflecting whether the electric energy generated when the power equipment stops running can be absorbed by one or more power buffer equipment.
By analyzing the power equipment outage data and the buffer data, the running condition and the load condition of the power equipment can be accurately estimated, so that the power distribution strategy can be optimized, more reasonable power supply and distribution can be realized, and the management of the power equipment is facilitated. By adjusting the second power distribution according to the power plant outage data, the efficiency and reliability of the power system may be improved. By analyzing the power equipment outage data and the buffer data, potential power equipment faults and anomalies can be found, for example, if the correlation between the power equipment outage data and the buffer data is found, the problems that the equipment is possibly overloaded and the like can be predicted, measures can be taken in advance to carry out equipment maintenance and maintenance so as to avoid possible faults and outage, and management of the power equipment is facilitated. By analyzing the power equipment outage data and the buffer data, the cause and the mode of the power equipment outage can be timely identified, corresponding measures can be taken, the risk and the downtime of the power equipment failure can be reduced, the loss can be reduced through predictive maintenance and the outage reduction, the reliability of a power system can be improved, and the management of the power equipment is facilitated. By analyzing the power equipment outage data and the buffer data, the problems of energy waste and low equipment efficiency in the system can be identified, and in the second power distribution process, the energy utilization efficiency of the power equipment can be optimized in a targeted manner, unnecessary energy consumption is reduced, the energy utilization rate is improved, and the management of the power equipment is facilitated.
Optionally, S754, analyzing the outage feedback data and the buffer data to obtain second power distribution data, including:
s7541, according to the outage feedback data, acquiring a voltage instantaneous difference value when the power equipment stops running. The voltage transient difference comprises a voltage transient difference caused when the power equipment is converted from an operation state to an off-line state.
It will be appreciated that the outage feedback data may include information regarding power plant outage records, operating state transition times, and the like. The instantaneous difference of the voltage can be calculated according to the voltage data before and after the power equipment is stopped, for example, the instantaneous difference of the voltage when the power equipment is stopped can be obtained by calculating the voltage difference of the two moments. In general, a voltage difference before and after the shutdown time is used to reflect a voltage transient difference caused when the power equipment is stopped.
The voltage instantaneous difference value caused by the power equipment outage reflects the change of the running state of the equipment, can be used for fault diagnosis and early warning, can timely find the abnormal condition caused by the power equipment outage by analyzing the change of the voltage instantaneous difference value, and adopts corresponding maintenance and treatment measures, thereby avoiding the power equipment from being faulty and damaged, and further being beneficial to the management of the power equipment. By analyzing the voltage transient difference, the influence of the power equipment outage on the voltage stability and the reliability can be evaluated, the ground voltage abnormality caused by the outage can be identified, and a basis is provided for the reliability evaluation of the power system. According to the analysis result, the power equipment can be improved and optimized, the running stability and reliability of the power equipment are improved, and the management of the power equipment is facilitated. The method has the advantages that the voltage instantaneous difference caused by the stop operation of the power equipment is analyzed, the energy management can be optimized, the energy efficiency is improved, the energy consumption and the energy loss are reduced by reducing the voltage instantaneous difference, and the energy utilization efficiency of the power system is improved, so that the method is beneficial to reducing the energy consumption and further beneficial to the management of the power equipment. By analyzing the instantaneous difference of the voltage, the operation and the maintenance of the power equipment can be planned and optimized, the change of the operation state and the performance of the power equipment can be determined according to the change trend of the instantaneous difference, decision support is provided for the overhaul and the maintenance of the power equipment, the service life of the power equipment can be prolonged by a reasonable operation and maintenance strategy, the reliability and the performance of the power equipment are improved, and the management of the power equipment is facilitated. The voltage transient difference obtained by using the power equipment outage data can provide data support for management decisions, and based on analysis results, management staff can adopt corresponding management and operation and maintenance strategies to optimize the performance and operation conditions of the power equipment, so that the accuracy and effect of the decisions are improved, and the management of the power equipment is facilitated.
And S7542, performing power matching on the voltage transient difference value and the buffer data when the power equipment stops running to obtain second power distribution data.
It will be appreciated that the two data sets may be integrated for the acquired voltage transient differences and buffer data when the power device is out of operation for subsequent power matching and analysis. The method can compare the voltage transient difference value when the power equipment stops running with the time stamp of the buffer data, align and match the time stamp, match the two data sets according to time, perform power pairing calculation, convert the voltage transient difference value when the power equipment stops running into a corresponding power value, match the buffer data, and calculate the corresponding power pairing value. And generating second power distribution data according to the power pairing calculation result, and integrating the power pairing value with other key indexes to form a complete second power distribution data set. And checking and adjusting the generated second power distribution data. Checking the accuracy and rationality of the data, and ensuring the consistency with the actual situation. Reasonable corrections and adjustments are made if necessary to ensure reliability and availability of the second power distribution data.
By performing power matching on the voltage transient difference value and the buffer data when the power equipment stops running, the power equipment is beneficial to understanding the running state and the energy consumption of the power equipment, accurate and valuable data support is provided for power equipment management and decision making, and the management of the power equipment is facilitated. The accuracy of the second power distribution data can be improved by matching the voltage instantaneous difference value when the power equipment stops running with the buffer data, and the data error and the inconsistency can be reduced and the data quality and the reliability can be improved by accurately matching and integrating the two data sets. By analyzing the second power distribution data, the energy consumption condition of the power equipment during the stop operation period can be known, the standby energy consumption of the equipment can be evaluated, and corresponding measures are taken to reduce the energy consumption, so that the energy saving aim is fulfilled. The state of the power equipment during the outage can be analyzed through the electric power matching of the voltage instantaneous difference value and the buffer data, and redundant voltage during the outage of the power equipment is transmitted to the power buffer equipment to prepare an energy management strategy and an optimization scheme, such as adjusting equipment standby mode, optimizing equipment operation parameters and the like, so that effective utilization of energy, energy conservation and emission reduction are realized, and management of the power equipment is facilitated.
S755, obtaining second management information for managing the power device according to the first power distribution data and the second power distribution data.
It will be appreciated that the first power distribution data and the second power distribution data may be correlated and differences and variations between the two compared. Key indicators, such as load conditions, power factors, load balancing, etc., are compared to gain insight into the operating conditions and performance variations of the electrical equipment. By analyzing the first power distribution data and the second power distribution data, abnormal phenomena such as load variation, power factor fluctuation, and the like can be observed. The load of the power equipment can be optimized and adjusted based on the analysis result, unbalanced load conditions are identified by comparing the first power distribution data with the second power distribution data, and the load distribution is adjusted so as to achieve better load balance. Meanwhile, based on analysis results of the first power distribution data and the second power distribution data, load distribution and management of the power equipment can be optimized, and management information for managing the power equipment is obtained by optimizing load balancing, adjusting load parameters and the like.
By analyzing the first power distribution data and the second power distribution data, the running state and the performance change of the power equipment can be monitored in real time, and the problems of excessive equipment load, abnormal power factor and the like can be found in time, so that early warning can be performed in advance, corresponding management measures can be taken, equipment faults and shutdown are avoided, and the management of the power equipment is facilitated. According to the comparison and analysis of the first power distribution data and the second power distribution data, equipment faults and abnormal conditions can be identified, potential fault risks are predicted, preventive maintenance measures can be taken early, the possibility of occurrence of the faults of the power equipment is reduced, the reliability and stability of the power equipment are improved, and management of the power equipment is facilitated. By analyzing the first power distribution data and the second power distribution data, load distribution of the power equipment can be optimized (for example, the power buffering equipment can convert electric energy stored in the power buffering equipment from one voltage level to another voltage level according to the working requirement of the power equipment, for example, a conversion process can be completed through a transformer, an inverter and other components, and the converted electric energy is transmitted to the power equipment so as to meet the normal operation of the power equipment. The generated management information for managing the power equipment can help to optimize the maintenance plan of the power equipment, and a reasonable maintenance strategy is formulated according to actual conditions, so that the work efficiency of an operation and maintenance team is improved, the maintenance cost is reduced, the service life of the power equipment is prolonged, and the management of the power equipment is further facilitated.
Alternatively, the management information for managing the power equipment may be obtained by matching the first power distribution data and the second power distribution data in the database. The database may be previously established in the first terminal device, and for example, corresponding first power distribution data and second power distribution data, and management information including a power distribution scheme corresponding to the preset first power distribution data and second power distribution data may be previously set according to various situations that may occur in power matching between the power device and the power buffering device. Corresponding management information can be obtained by matching the first power distribution data and the second power distribution data obtained in practice in a database. Illustratively, first, the first power distribution data and the second power distribution data are imported into tables of the respective databases, which may be accomplished by using a database management tool or writing a data import script. And writing a query sentence by using a database query language (such as SQL), matching the data in the table according to a specific matching condition, wherein the matching condition can use the same unique identification field or other related fields to determine a matching relationship. Once the data matching is completed, the query statement may be used to extract the required management information in the database, which may include the power distribution time, the power distribution scheme (e.g., the power buffering device may absorb excess power during operation of a single or multiple power devices, when a certain power device is out of operation, it needs to be determined whether the current power buffering device can absorb power flowing into the power system when the power device is out of operation, if not, it needs another power buffering device to absorb the power.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic of each process, and should not limit the implementation process of the embodiment of the present application in any way.
Corresponding to the power equipment management method described in the above embodiments, the embodiments of the present application further provide a power equipment management system, where each module of the system may implement each step of the power equipment management method. Fig. 9 shows a block diagram of the power equipment management system provided in the embodiment of the present application, and for convenience of explanation, only a portion related to the embodiment of the present application is shown.
Referring to fig. 9, the power device management system includes:
the acquisition module is used for acquiring the power equipment information and the power buffer equipment information;
the first simulation module is used for carrying out dynamic simulation according to the power equipment information to obtain power equipment image information; the power equipment image information comprises layout image information between the power equipment and the power buffer equipment and image information reflecting the relation between the voltage and the current of the power equipment;
the second simulation module is used for carrying out dynamic simulation according to the power buffer equipment information to obtain power buffer equipment image information; wherein the power buffer device image information includes power buffer device current path image information and power buffer device voltage image information;
The first generation module is used for sending the image information of the power equipment and the image information of the power buffer equipment to the second terminal equipment and obtaining first management information which is fed back by the second terminal equipment and is used for managing the power equipment;
the first processing module is used for obtaining working condition data of the power equipment according to the image information of the power equipment; wherein the power equipment working condition data comprises working condition data reflecting that the power equipment is in a working state;
the second processing module is used for obtaining working condition data of the power buffer equipment according to the image information of the power buffer equipment; the power buffer device working condition data comprise data reflecting that the power buffer device absorbs electric energy of the power device in a working state and data reflecting electric energy released to the power device;
and the second generation module is used for obtaining second management information for managing the power equipment according to the power equipment working condition data and the power buffer equipment working condition data.
It should be noted that, because the content of information interaction and execution process between the modules is based on the same concept as the method embodiment of the present application, specific functions and technical effects thereof may be referred to in the method embodiment section, and details are not repeated herein.
It will be apparent to those skilled in the art that the above-described modules are merely illustrated in terms of division for convenience and brevity, and that in practical applications, the above-described functional allocation may be performed by different modules, i.e., the internal structure of the system is divided into different modules, to perform all or part of the above-described functions. The modules in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more modules may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the modules are only for distinguishing from each other, and are not used to limit the protection scope of the present application. The specific working process of the modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
The embodiment of the application also provides a power equipment management device, and fig. 10 is a schematic structural diagram of the power equipment management device provided in an embodiment of the application. As shown in fig. 10, the power equipment management apparatus 6 of this embodiment includes: at least one processor 60 (only one is shown in fig. 10), at least one memory 61 (only one is shown in fig. 10), and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60, which processor 60, when executing the computer program 62, causes the power device management apparatus 6 to implement the steps of any of the respective power device management method embodiments described above, or causes the power device management apparatus 6 to implement the functions of the respective modules of the respective apparatus embodiments described above.
Illustratively, the computer program 62 may be partitioned into one or more modules that are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules may be a series of computer program instruction segments capable of performing specific functions for describing the execution of the computer program 62 in the power device management apparatus 6.
The power device management device 6 may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, etc. The power device management apparatus may include, but is not limited to, a processor 60, a memory 61. It will be appreciated by those skilled in the art that fig. 10 is merely an example of the power device management device 6 and is not meant to be limiting of the power device management device 6, and may include more or fewer components than shown, or may combine certain components, or different components, such as may also include input-output devices, network access devices, buses, etc.
The processor 60 may be a central processing unit (Central Processing Unit, CPU), the processor 60 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 61 may in some embodiments be an internal storage unit of the power device management apparatus 6, such as a hard disk or a memory of the power device management apparatus 6. The memory 61 may in other embodiments also be an external storage device of the power device management apparatus 6, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the power device management apparatus 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the power device management apparatus 6. The memory 61 is used for storing an operating system, application programs, boot loader (BootLoader), data, other programs, etc., such as program codes of the computer program. The memory 61 may also be used for temporarily storing data that has been output or is to be output.
Embodiments of the present application also provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of any of the various method embodiments described above.
Embodiments of the present application provide a computer program product for causing an electronic device to carry out the steps of any of the various method embodiments described above when the computer program product is run on the electronic device.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application implements all or part of the flow of the method of the above embodiments, and may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing device/terminal apparatus, recording medium, computer Memory, read-Only Memory (ROM), random access Memory (RAM, random Access Memory), electrical carrier signals, telecommunications signals, and software distribution media. Such as a U-disk, removable hard disk, magnetic or optical disk, etc. In some jurisdictions, computer readable media may not be electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/electronic device and method may be implemented in other manners. For example, the power device management system/power device management device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (9)
1. A power device management method applied to a first terminal device, the power device management method comprising:
acquiring power equipment information and power buffer equipment information;
performing dynamic simulation according to the power equipment information to obtain power equipment image information; the power equipment image information comprises layout image information between the power equipment and the power buffer equipment and image information reflecting the relation between the voltage and the current of the power equipment;
Performing dynamic simulation according to the power buffer equipment information to obtain power buffer equipment image information; wherein the power buffer device image information includes power buffer device current path image information and power buffer device voltage image information;
the image information of the power equipment and the image information of the power buffer equipment are sent to second terminal equipment, and first management information which is fed back by the second terminal equipment and used for managing the power equipment is obtained;
acquiring working condition data of the power equipment according to the image information of the power equipment; wherein the working condition data of the power equipment comprise working condition data reflecting the working condition of the power equipment in a working state;
acquiring working condition data of the power buffer equipment according to the image information of the power buffer equipment; the power buffer equipment working condition data comprise data reflecting that the power buffer equipment absorbs electric energy of the power equipment in a working state and data reflecting electric energy released to the power equipment;
obtaining second management information for managing the power equipment according to the power equipment working condition data and the power buffer equipment working condition data;
the obtaining, according to the power equipment working condition data and the power buffer equipment working condition data, second management information for managing the power equipment includes:
Performing power matching processing on the power equipment working condition data and the power buffer equipment working condition data to obtain power matching information; the power matching information is used for reflecting the power matching condition between the power equipment and the power buffer equipment;
and obtaining second management information for managing the power equipment according to the power matching information.
2. The power equipment management method according to claim 1, wherein the dynamically simulating according to the power equipment information to obtain power equipment image information comprises:
dividing the power equipment information according to equipment types to obtain corresponding power equipment type data; the power equipment type data comprise layout data between the power equipment and the power buffer equipment and data reflecting the relation between the voltage and the current of the power equipment;
and carrying out dynamic simulation processing on layout data between the power equipment and the power buffer equipment of the corresponding power equipment type data and data reflecting the relation between the voltage and the current of the power equipment according to a data scheduling instruction sent by the second terminal equipment to obtain the power equipment image information.
3. The power device management method according to claim 2, wherein after the transmitting the power device image information and the power buffer device image information to the second terminal device, comprising:
the second terminal equipment displays the relative relation between the corresponding power equipment and the power buffer equipment in a three-dimensional diagram according to the received layout image information; wherein the relative relationship includes a relative positional relationship between the power device and the power buffer device, an electrical connection relationship between the power device and the power buffer device;
obtaining electromagnetic interference data reflecting the electromagnetic interference condition between the power equipment and the power buffer equipment according to the relative position relation between the power equipment and the power buffer equipment, the electric connection relation between the power equipment and the power buffer equipment and the current path image information of the power buffer equipment;
the second terminal equipment performs electromagnetic interference elimination on the received image information reflecting the relation between the voltage and the current of the power equipment according to the electromagnetic interference data to obtain a first voltage fluctuation image;
overlapping the absorption fluctuation data and the release fluctuation data in the voltage image information of the power buffer equipment to a preset voltage fluctuation image of the power equipment selected and adjusted by equipment maintenance personnel to obtain a second voltage fluctuation image; the absorption fluctuation data is overlapped to the preset power equipment voltage fluctuation image selected and adjusted by the equipment maintainer to inhibit fluctuation, and the release fluctuation data is overlapped to the preset power equipment voltage fluctuation image selected and adjusted by the equipment maintainer to enhance fluctuation;
Obtaining preliminary management information for managing the power equipment according to the relative position relation, the first voltage fluctuation image and the second voltage fluctuation image;
and generating final first management information for managing the power equipment according to the modification of the preliminary management information by equipment overhaulers, and sending the first management information to the first terminal equipment.
4. The power equipment management method according to claim 3, wherein the obtaining preliminary management information for managing the power equipment based on the relative positional relationship, the first voltage fluctuation image, and the second voltage fluctuation image includes:
performing image coverage on the preset power equipment voltage fluctuation image selected and adjusted by the equipment maintainer and the first voltage fluctuation image to obtain a first significant area, and displaying the first significant area on the second terminal equipment; the first significant area comprises a difference area between the first voltage fluctuation image and a preset power equipment voltage fluctuation image selected and adjusted by the equipment maintainer;
obtaining corresponding absorption fluctuation data and release fluctuation data from the image information of the power buffer equipment according to the corresponding salient period of the first salient region; the absorption fluctuation data are data of voltages of the power equipment corresponding to the relative position relation absorbed by the power buffer equipment, and the release fluctuation data are data of voltages of the power equipment corresponding to the relative position relation released by the power buffer equipment;
Performing image coverage on the second voltage fluctuation image and the first voltage fluctuation image to obtain a second significant area, and displaying the second significant area on the second terminal equipment; wherein the second significant region includes a different region and a similar region of the second voltage fluctuation image and the first voltage fluctuation image, and a region in which the absorption fluctuation data and the release fluctuation data affect voltage fluctuation of the power device;
and obtaining preliminary management information for managing the power equipment according to the relative position relation, the first significant area, the second significant area and the mapping relation among preset management information.
5. The power equipment management method according to claim 1, wherein the performing power matching processing on the power equipment working condition data and the power buffer equipment working condition data to obtain power matching information includes:
acquiring a voltage difference value of the power equipment in a working state according to the working condition data of the power equipment; the voltage difference value comprises a difference value between the voltage of the power equipment in the power utilization peak period and the voltage in the stable operation state and a difference value between the voltage of the power equipment in the power utilization valley period and the voltage in the stable operation state;
Obtaining buffer data according to the working condition data of the power buffer equipment; the buffer data comprise data of the voltage absorbed by the power buffer equipment in the working state and data of the voltage released to the power equipment;
and matching the voltage difference value of the power equipment in the working state with the buffer data to obtain the power matching information.
6. The power equipment management method according to claim 5, wherein the obtaining second management information for managing the power equipment according to the power equipment operating condition data and the power buffer equipment operating condition data further comprises:
acquiring frequency data of input voltage and frequency data of output voltage of the power equipment in a working state according to the working condition data of the power equipment; when the frequency data of the input voltage and the frequency data of the output voltage of the power equipment in the working state cannot be directly obtained according to the working condition data of the power equipment, the frequency spectrum signal data of the power equipment are firstly obtained according to the working condition data of the power equipment; the frequency spectrum signal data comprise waveform data and harmonic data of voltage of the power equipment in a working state; then, performing inverse Fourier transform processing on the frequency spectrum signal data to obtain frequency data of input voltage and frequency data of output voltage of the power equipment in a working state;
Matching the frequency data of the input voltage and the frequency data of the output voltage of the power equipment in the working state with the frequency data of the input voltage and the frequency data of the output voltage preset in the power equipment information to obtain power equipment load data and power equipment radiation data; wherein the power equipment load data comprises data reflecting a load condition of the power equipment in a working state, and the power equipment radiation data comprises information data reflecting radiation generated by the power equipment in the working state;
and obtaining second management information for managing the power equipment according to the power matching information, the power equipment load data and the power equipment radiation data.
7. The power device management method according to claim 6, wherein the obtaining second management information for managing the power device based on the power matching information, the power device load data, and the power device radiation data includes:
analyzing and processing the voltage difference value of the power equipment in the working state and the buffer data to obtain first power distribution data;
obtaining power equipment outage data according to the power equipment load data and the power equipment radiation data;
The power equipment outage data are sent to the overloaded power equipment, and outage feedback data are obtained;
analyzing the outage feedback data and the buffer data to obtain second power distribution data, wherein the second power distribution data comprises: according to the outage feedback data, acquiring a voltage instantaneous difference value when the power equipment stops running; the voltage transient difference value comprises a voltage transient difference value caused when the power equipment is converted from an operation state to an off-line state; performing power matching on the voltage transient difference value when the power equipment stops running and the buffer data to obtain second power distribution data;
and obtaining second management information for managing the power equipment according to the first power distribution data and the second power distribution data.
8. A power device management system, comprising:
the acquisition module is used for acquiring the power equipment information and the power buffer equipment information;
the first simulation module is used for carrying out dynamic simulation according to the power equipment information to obtain power equipment image information; the power equipment image information comprises layout image information between the power equipment and the power buffer equipment and image information reflecting the relation between the voltage and the current of the power equipment;
The second simulation module is used for carrying out dynamic simulation according to the power buffer equipment information to obtain power buffer equipment image information; wherein the power buffer device image information includes power buffer device current path image information and power buffer device voltage image information;
the first generation module is used for sending the power equipment image information and the power buffer equipment image information to second terminal equipment and obtaining first management information which is fed back by the second terminal equipment and is used for managing the power equipment;
the first processing module is used for obtaining working condition data of the power equipment according to the image information of the power equipment; wherein the working condition data of the power equipment comprise working condition data reflecting the working condition of the power equipment in a working state;
the second processing module is used for obtaining working condition data of the power buffer equipment according to the image information of the power buffer equipment; the power buffer equipment working condition data comprise data reflecting that the power buffer equipment absorbs electric energy of the power equipment in a working state and data reflecting electric energy released to the power equipment;
the second generation module is used for obtaining second management information for managing the power equipment according to the power equipment working condition data and the power buffer equipment working condition data;
Wherein the second generating module is further configured to:
performing power matching processing on the power equipment working condition data and the power buffer equipment working condition data to obtain power matching information; the power matching information is used for reflecting the power matching condition between the power equipment and the power buffer equipment;
and obtaining second management information for managing the power equipment according to the power matching information.
9. A power device management apparatus comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the method of any of claims 1 to 7 when executing the computer program.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118137678A (en) * | 2024-05-07 | 2024-06-04 | 国网黑龙江省电力有限公司齐齐哈尔供电公司 | Intelligent power distribution network feed automatic processing method |
| CN118590623A (en) * | 2024-08-06 | 2024-09-03 | 国网黑龙江省电力有限公司伊春供电公司 | Digital power system-oriented power equipment video monitoring method and monitoring equipment |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100964298B1 (en) * | 2009-12-15 | 2010-06-16 | 한국전력거래소 | A network analysis system |
| CN111864896A (en) * | 2019-04-29 | 2020-10-30 | 清华大学 | Power load monitoring method and system |
| CN112072792A (en) * | 2020-09-07 | 2020-12-11 | 华北电力大学 | Power grid and information grid fusion method and device supporting power supply and demand interaction and storage medium |
| CN112598025A (en) * | 2020-12-02 | 2021-04-02 | 广东电网有限责任公司 | Processing method, device, equipment and medium for target information of power equipment |
| CN114243914A (en) * | 2021-12-10 | 2022-03-25 | 南方电网数字电网研究院有限公司 | Electric power monitoring system |
| CN114520510A (en) * | 2022-02-11 | 2022-05-20 | 国家电网有限公司 | Load regulation and control method, device, equipment and medium for power supply and demand response balance |
| US20230115235A1 (en) * | 2020-06-17 | 2023-04-13 | Kabushiki Kaisha Toshiba | Energy management system, energy management method, and storage medium |
| CN116093959A (en) * | 2023-04-12 | 2023-05-09 | 江苏通球建筑科技有限公司 | Power load energy storage and power supply management system |
| US20230260057A1 (en) * | 2020-10-26 | 2023-08-17 | Hitachi, Ltd. | Electric Power Matching Device, Electric Power System, and Electric Power Matching Method |
| CN116821660A (en) * | 2023-07-06 | 2023-09-29 | 古桥信息科技(郑州)有限公司 | Power management method, system, terminal equipment and storage medium |
-
2023
- 2023-12-06 CN CN202311656990.XA patent/CN117375246B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100964298B1 (en) * | 2009-12-15 | 2010-06-16 | 한국전력거래소 | A network analysis system |
| CN111864896A (en) * | 2019-04-29 | 2020-10-30 | 清华大学 | Power load monitoring method and system |
| US20230115235A1 (en) * | 2020-06-17 | 2023-04-13 | Kabushiki Kaisha Toshiba | Energy management system, energy management method, and storage medium |
| CN112072792A (en) * | 2020-09-07 | 2020-12-11 | 华北电力大学 | Power grid and information grid fusion method and device supporting power supply and demand interaction and storage medium |
| US20230260057A1 (en) * | 2020-10-26 | 2023-08-17 | Hitachi, Ltd. | Electric Power Matching Device, Electric Power System, and Electric Power Matching Method |
| CN112598025A (en) * | 2020-12-02 | 2021-04-02 | 广东电网有限责任公司 | Processing method, device, equipment and medium for target information of power equipment |
| CN114243914A (en) * | 2021-12-10 | 2022-03-25 | 南方电网数字电网研究院有限公司 | Electric power monitoring system |
| CN114520510A (en) * | 2022-02-11 | 2022-05-20 | 国家电网有限公司 | Load regulation and control method, device, equipment and medium for power supply and demand response balance |
| CN116093959A (en) * | 2023-04-12 | 2023-05-09 | 江苏通球建筑科技有限公司 | Power load energy storage and power supply management system |
| CN116821660A (en) * | 2023-07-06 | 2023-09-29 | 古桥信息科技(郑州)有限公司 | Power management method, system, terminal equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 俞宏廷;: "供配电设计中电力监控系统的应用", 科技与创新, no. 20, 25 October 2017 (2017-10-25) * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118137678A (en) * | 2024-05-07 | 2024-06-04 | 国网黑龙江省电力有限公司齐齐哈尔供电公司 | Intelligent power distribution network feed automatic processing method |
| CN118590623A (en) * | 2024-08-06 | 2024-09-03 | 国网黑龙江省电力有限公司伊春供电公司 | Digital power system-oriented power equipment video monitoring method and monitoring equipment |
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|---|---|
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