CN111953070A - Power optimization scheduling system and strategy method based on source network load and storage coordination - Google Patents
Power optimization scheduling system and strategy method based on source network load and storage coordination Download PDFInfo
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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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- 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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- 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
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/14—Energy storage units
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
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Abstract
The invention discloses a power optimization scheduling system based on source network load storage coordination, which comprises a central processing system, wherein the output end of the central processing system is electrically connected with the input end of a scheduling management system through a wire, the scheduling management system is in bidirectional connection with a wireless transmission module through a wireless network, and the wireless transmission module is electrically connected with the input end of a human-computer interaction unit through a wireless network. The power optimization scheduling system and the strategy method based on source network load storage coordination can realize the regular and quantitative detection and collection of power data of a designated monitoring management section, realize the accurate control of front end data, lay a foundation for the subsequent professionals to make a front end data power scheduling scheme, and simultaneously transparently display the power data, power working condition information, a data preprocessing intermediate process and a scheduling decision result, so that the interaction among personnel is realized, and the effectiveness and the safety of power scheduling are improved.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to an electric power optimization scheduling system and a strategy method based on source network load and storage coordination.
Background
As a core and a link of an energy internet, a source-network-load-storage interactive operation mode of an electric power system can be widely applied to the whole energy industry and is vital to the optimal configuration of resources for driving the whole energy system, and the source-network-load-storage interactive operation oriented to the electric power system refers to the fact that power sources, power grids, loads and energy storage are more economically, efficiently and safely improved in power dynamic balance capacity of the electric power system through various interactive forms such as source-source complementation, source-network coordination, network-load interaction, network-storage interaction and source-load interaction, and is essentially an operation mode and technology for realizing the maximum utilization of energy resources.
Referring to an electric power system optimization scheduling and strategy method based on source network charge-storage coordination, which is disclosed by the Chinese patent application No. CN201811259661.0, by means of active and reactive power optimization control of a power distribution network pole and an active optimization scheduling strategy of a power transmission network, complementary characteristics and regulation and control capabilities of charge-storage resources of resource networks at all levels are fully utilized, technical support is provided for operation management and power transmission network analysis of an active power distribution network containing source network charge-storage, and the method has reference significance for source network charge-storage interactive regulation and control of various flexible loads, distributed power supplies, various energy storage and power distribution networks and power transmission networks in regional power networks of power networks in the south of the future, and by integrating the prior art, the current electric power optimization scheduling system still has the following defects:
1) the existing power optimization scheduling mostly adopts an experience-based form, lacks necessary and accurate power data, does not comprehensively consider the actual operation parameters of the power grid, and judges the safe and economic operation states of the power grid, so that the effectiveness and safety of power scheduling are reduced, and the problems of increased workload and poor operation effect of subsequent power scheduling are solved;
2) the monitoring and follow-up of the operation condition of the power grid after power dispatching are lacked, so that the careless problem can not be improved at the first time, the power dispatching work is not perfect, and the stability of the power dispatching operation is also influenced.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a power optimization scheduling system and a strategy method based on source network load storage coordination, and solves the problems that the existing power scheduling system lacks necessary and accurate power data, and does not combine the actual operation parameters of a power grid and the safe and economic operation states of the power grid to carry out comprehensive judgment and consideration, so that the effectiveness and the safety of power scheduling are reduced, and the follow-up of the operation conditions after power scheduling is not carried out.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a power optimization scheduling system based on source network load-storage coordination comprises a central processing system, wherein the output end of the central processing system is electrically connected with the input end of a scheduling management system through a lead, the scheduling management system is in bidirectional connection with a wireless transmission module through a wireless cable, the wireless transmission module is electrically connected with the input end of a human-computer interaction unit through a wireless cable, the output end of the central processing system is respectively electrically connected with the input ends of the wireless transmission module and the human-computer interaction unit through a lead, the output end of the central processing system is electrically connected with the input end of a power information acquisition system through a lead, the output end of the power information acquisition system is electrically connected with the input end of a feedback module through a lead, the output end of the feedback module is electrically connected with the input end of the central processing system through a lead, and the input end of the central processing system is electrically connected with the output end of a, the input end of the central processing system is electrically connected with the output end of the environment monitoring unit through a lead.
Preferably, the dispatching management system comprises an electric power working condition access module, and an output end of the electric power working condition access module is electrically connected with an input end of the data preprocessing module through a wire.
Preferably, the dispatching management system comprises an electric power working condition access module, and an output end of the electric power working condition access module is electrically connected with an input end of the data preprocessing module through a wire.
Preferably, the output end of the scheduling decision unit is electrically connected with the input end of the feasibility report generating module through a wire, the human-computer interaction unit comprises a storage unit, and the input end of the storage unit is electrically connected with the output end of the microprocessor through a wire.
Preferably, the output end of the microprocessor is electrically connected with the input end of the display terminal through a wire.
Preferably, the follow-up management system comprises a data receiving module, and the input end of the data receiving module is electrically connected with the output ends of the field data acquisition module and the operation condition monitoring module through a lead.
Preferably, the output end of the data receiving module is electrically connected with the input end of the power dispatching platform through a wire, the power dispatching platform is in bidirectional connection with the scheme adjusting module through a wireless mode, and the output end of the scheme adjusting module is electrically connected with the input end of the instruction issuing module through a wire.
Preferably, the environment monitoring unit includes temperature sensor, smoke transducer and humidity transducer, the electric power information acquisition system includes information acquisition unit and video information acquisition module, the information acquisition unit includes voltage acquisition module, electric current acquisition module, load detection module, frequency detection module, electric field intensity detection module and magnetic field intensity detection module.
The invention also discloses a strategy method of the power optimization scheduling system based on source network load-storage coordination, which specifically comprises the following steps:
s1, acquiring front end electric power data: the system comprises a voltage acquisition module, a current acquisition module, a load detection module, a frequency detection module, an electric field intensity detection module and a magnetic field intensity detection module, wherein the voltage acquisition module, the current acquisition module, the load detection module, the frequency detection module, the electric field intensity detection module and the magnetic field intensity detection module are used for regularly and quantitatively detecting and acquiring the voltage, the current, the load, the frequency, the electric field intensity and the magnetic field intensity of an appointed monitoring management section;
s2, analyzing and formulating a scheduling scheme: the power condition access module in the dispatching management system is accessed to the real-time operation condition of each power device in S1 and other basic power dispatching information and the collected front-end data, the data preprocessing module carries out the standardized analysis preprocessing on the received data, and the data after pretreatment of the screening and calculating module is used for screening and calculating the actual situation, a dispatching scheme beneficial to improving the power condition is obtained by adopting a multi-packet differential evolution algorithm for optimization calculation according to a joint dispatching analysis module in a dispatching decision unit, an alternative scheme of power dispatching is obtained by analyzing and obtaining through an expert decision analysis module, the final scheduling decision scheme is obtained after the scheduling schemes are fused, the final scheduling decision scheme is stored by a storage unit, the scheduling instruction is sent to a display terminal for display after being processed by the microprocessor, and then the scheduling instruction is issued;
s3, follow-up of the scheduling scheme: according to the step S2, after the dispatching scheme is successfully issued and implemented, acquiring the field data of the power grid after power dispatching through a field data acquisition module in the follow-up management system, monitoring the operation condition of the power grid in real time through an operation condition monitoring module, receiving all the detection data through a data receiving module, and then sending the detection data to a power dispatching platform;
s4, adjustment of a scheduling scheme: relevant electric power personnel carry out relevant adjustment on the electric power dispatching scheme through the scheme adjusting module according to the detection data displayed by the electric power dispatching platform and the specific implementation deficiency of electric power dispatching, and the instruction issuing module issues the adjusted control instruction until the electric power dispatching scheme is completed.
Preferably, the display terminal performs image display on the power data, the power working condition information, the data preprocessing intermediate process and the scheduling decision result.
(III) advantageous effects
The invention provides a power optimization scheduling system and a strategy method based on source network load and storage coordination. The method has the following beneficial effects:
(1) the output end of the central processing system is electrically connected with the input ends of the wireless transmission module and the man-machine interaction unit through leads respectively, the output end of the central processing system is electrically connected with the input end of the electric power information acquisition system through leads, the output end of the electric power information acquisition system is electrically connected with the input end of the feedback module through leads, the output end of the feedback module is electrically connected with the input end of the central processing system through leads, the dispatching management system comprises an electric power working condition access module, the output end of the power working condition access module is electrically connected with the input end of the data preprocessing module through a wire, the dispatching management system comprises the power working condition access module, the output end of the power working condition access module is electrically connected with the input end of the data preprocessing module through a wire, the output end of the dispatching decision unit is electrically connected with the input end of the feasibility report generating module through a wire, the human-computer interaction unit comprises a storage unit, the input end of the storage unit is electrically connected with the output end of the microprocessor through a wire, the output end of the microprocessor is electrically connected with the input end of the display terminal through a wire, the power data of the appointed monitoring management section can be detected and collected regularly and quantitatively, the accurate control of the front-end data is realized, a foundation is laid for the subsequent professional to make a front-end data power dispatching scheme, and meanwhile, the electric power working condition information, the data preprocessing intermediate process and the scheduling decision result are transparently displayed, so that the interaction among personnel is realized, and the effectiveness and the safety of electric power scheduling are improved.
(2) The follow-up management system comprises a data receiving module, the input end of the data receiving module is electrically connected with the output ends of the field data acquisition module and the operation condition monitoring module through leads, the output end of the data receiving module is electrically connected with the input end of the power dispatching platform through leads, the power dispatching platform is in bidirectional connection with the scheme adjusting module through wireless, the output end of the scheme adjusting module is electrically connected with the input end of the instruction issuing module through leads, follow-up of the follow-up scheme can be realized, personnel can perform related adjustment on the scheme according to the detection results of the field data and the operation condition, and the power dispatching scheme is further perfected.
(3) The power optimization scheduling system and the power optimization scheduling strategy method based on source network load storage coordination comprise a temperature sensor, a smoke sensor and a humidity sensor through an environment monitoring unit, wherein the information acquisition unit comprises a voltage acquisition module, a current acquisition module, a load detection module, a frequency detection module, an electric field strength detection module and a magnetic field strength detection module, the temperature of the surrounding environment of a power grid can be monitored, smoke and humidity values are monitored, the voltage acquisition module, the current acquisition module, the load detection module, the frequency detection module, the electric field strength detection module and the magnetic field strength detection module of the information acquisition unit in the power information acquisition system are used for regularly and quantitatively detecting and acquiring the voltage, current, load, frequency, electric field strength and magnetic field strength of a specified monitoring management section.
(4) The output end of the central processing system is electrically connected with the input ends of the wireless transmission module and the man-machine interaction unit through wires respectively, and the display terminal performs imaging display on power data, power working condition information, a data preprocessing intermediate process and a scheduling decision result.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
FIG. 2 is a schematic block diagram of the structure of the power information collection system of the present invention;
FIG. 3 is a schematic block diagram of the structure of a scheduling decision unit according to the present invention;
FIG. 4 is a schematic block diagram of the structure of the dispatch management system of the present invention;
FIG. 5 is a schematic block diagram of the environment monitoring unit according to the present invention;
FIG. 6 is a schematic block diagram of the structure of an information acquisition unit according to the present invention;
FIG. 7 is a schematic block diagram of the structure of the follow-up management system of the present invention;
FIG. 8 is a schematic block diagram of the structure of a human-computer interaction unit according to the present invention;
FIG. 9 is a flow chart of the power optimization scheduling system of the present invention;
FIG. 10 is a circuit diagram of the humidity sensor of the present invention.
In the figure: 1-a central processing system, 2-a scheduling management system, 21-a power working condition access module, 22-a data preprocessing module, 23-a screening calculation module, 24-a scheduling decision unit, 241-a joint scheduling analysis module, 242-an expert decision analysis module, 25-a feasibility report generation module, 3-a wireless transmission module, 4-a man-machine interaction unit, 41-a storage unit, 42-a microprocessor, 43-a display terminal, 5-a power information acquisition system, 51-an information acquisition unit, 511-a voltage acquisition module, 512-a current acquisition module, 513-a load detection module, 514-a frequency detection module, 515-an electric field intensity detection module, 516-an magnetic field intensity detection module, 52-a video information acquisition module, a power supply module, a power, 6-a feedback module, 7-a follow-up management system, 71-a data receiving module, 72-a field data acquisition module, 73-an operating condition monitoring module, 74-a power dispatching platform, 75-a scheme adjusting module, 76-an instruction issuing module, 8-an environment monitoring unit, 81-a temperature sensor, 82-a smoke sensor and 83-a humidity sensor.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 10, an embodiment of the present invention provides a technical solution: an electric power optimization scheduling system based on source network load storage coordination can realize the regular and quantitative detection and collection of electric power data of an appointed monitoring management section, realize the accurate control of front end data, lay a foundation for the subsequent professional to make a front end data electric power scheduling scheme, and simultaneously transparently display the electric power data, electric power working condition information, a data preprocessing intermediate process and a scheduling decision result, realize the interaction among personnel, and improve the effectiveness and the safety of electric power scheduling, comprising a central processing system 1, wherein the output end of the central processing system 1 is electrically connected with the input end of a scheduling management system 2 through a lead, the scheduling management system 2 is in bidirectional connection with a wireless transmission module 3 through wireless, the wireless transmission module 3 is a module for performing wireless transmission by utilizing wireless technology and is widely applied to a computer wireless network, wireless communication, wireless control and other fields, the wireless transmission module 3 mainly comprises a transmitter, a receiver and a controller, the wireless transmission module 3 is electrically connected with the input end of the human-computer interaction unit 4 through wireless, the output end of the central processing system 1 is electrically connected with the wireless transmission module 3 and the input end of the human-computer interaction unit 4 through wires, the output end of the central processing system 1 is electrically connected with the input end of the electric power information acquisition system 5 through wires, the output end of the electric power information acquisition system 5 is electrically connected with the input end of the feedback module 6 through wires, the output end of the feedback module 6 is electrically connected with the input end of the central processing system 1 through wires, the input end of the central processing system 1 is electrically connected with the output end of the follow-up management system 7 through wires, the follow-up of the specific implementation of the subsequent scheme can be realized, and personnel can detect results according to field data and, and the scheme is adjusted relatively, so that the power dispatching scheme is further perfected, and the input end of the central processing system 1 is electrically connected with the output end of the environment monitoring unit 8 through a lead.
In the invention, the dispatching management system 2 comprises an electric power working condition access module 21, and the output end of the electric power working condition access module 21 is electrically connected with the input end of a data preprocessing module 22 through a lead.
In the present invention, the output end of the data preprocessing module 22 is electrically connected to the input end of the screening calculation module 23 through a wire, the output end of the screening calculation module 23 is electrically connected to the input end of the scheduling decision unit 24 through a wire, and the scheduling decision unit 24 includes a joint scheduling analysis module 241 and an expert decision analysis module 242.
In the present invention, the output end of the scheduling decision unit 24 is electrically connected to the input end of the feasibility report generating module 25 through a wire, the human-computer interaction unit 4 includes a storage unit 41, and the input end of the storage unit 41 is electrically connected to the output end of the microprocessor 42 through a wire.
In the present invention, the output terminal of the microprocessor 42 is electrically connected to the input terminal of the display terminal 43 through a wire.
In the invention, the follow-up management system 7 comprises a data receiving module 71, and the input end of the data receiving module 71 is electrically connected with the output ends of the field data acquisition module 72 and the operation condition monitoring module 73 through a lead.
In the present invention, the output end of the data receiving module 71 is electrically connected to the input end of the power dispatching platform 74 through a wire, the power dispatching platform 74 is bidirectionally connected to the scheme adjusting module 75 through a wireless connection, and the output end of the scheme adjusting module 75 is electrically connected to the input end of the instruction issuing module 76 through a wire.
In the invention, the environment monitoring unit 8 comprises a temperature sensor 81, a smoke sensor 82 and a humidity sensor 83, the electric power information acquisition system 5 comprises an information acquisition unit 51 and a video information acquisition module 52, the model of the humidity sensor 83 is JCJ175A, the model of the temperature sensor 81 is DS18B20, the model of the feedback module 6 is 6DR4004-6J, the central processing system 1 is used as the operation and control core of a computer system and is the final execution unit of information processing and program operation, the CPU has great development on the extension of logic structure, operation efficiency and function since the generation, the model of the central processing system 1 is ARM9, and the information acquisition unit 51 comprises a voltage acquisition module 511, a current acquisition module 512, a load detection module 513, a frequency detection module 514, an electric field strength detection module 515 and a magnetic field strength detection module 516.
The invention also discloses a strategy method of the power optimization scheduling system based on source network load-storage coordination, which specifically comprises the following steps:
s1, acquiring front end electric power data: the voltage acquisition module 511, the current acquisition module 512, the load detection module 513, the frequency detection module 514, the electric field strength detection module 515 and the magnetic field strength detection module 516 of the information acquisition unit 51 in the power information acquisition system 5 are used for regularly and quantitatively detecting and acquiring the voltage, the current, the load, the frequency, the electric field strength and the magnetic field strength of a specified monitoring management section, the temperature, humidity and smoke values in the side management area are monitored by the temperature sensor 81, humidity sensor 83 and smoke sensor 82 inside the environment monitoring unit 8, the video information acquisition module 52 acquires video images of a designated monitoring section, transmits acquired video data to the display terminal 43 through the wireless transmission module 3 by the central processing system 1 for display, and simultaneously transmits the acquired front-end electric data to the inside of the dispatching management system 2;
s2, analyzing and formulating a scheduling scheme: the power condition access module 21 in the dispatching management system 2 accesses the basic power dispatching information such as real-time operation condition of each power device in S1 and the collected front-end data, the data preprocessing module 22 performs the standardized analysis preprocessing on the received data, the data preprocessed by the screening calculation module 23 is screened and calculated according to the actual condition, the dispatching scheme beneficial to improving the power condition is obtained by the optimized calculation of the multi-group differential evolution algorithm according to the combined dispatching analysis module 241 in the dispatching decision unit 24, the expert decision analysis module 242 analyzes and obtains the alternative scheme of power dispatching, the final dispatching decision scheme is obtained by fusing the dispatching schemes, the final dispatching decision scheme is stored by the storage unit 41 and is sent to the display terminal 43 for display after being processed by the microprocessor 42, issuing a scheduling instruction;
s3, follow-up of the scheduling scheme: according to S2, after the scheduling scheme is successfully delivered and implemented, the field data of the power grid after power scheduling is collected by the field data collection module 72 inside the follow-up management system 7, the operation condition of the power grid is monitored in real time by the operation condition monitoring module 73, and the above detection data are received by the data receiving module 71 and then sent to the power scheduling platform 74;
s4, adjustment of a scheduling scheme: relevant power personnel carry out relevant adjustment on the power dispatching scheme through the scheme adjusting module 75 according to the detection data displayed by the power dispatching platform 74 and according to the specific implementation deficiency of power dispatching, and an instruction issuing module 76 issues an adjusted control instruction until the power dispatching scheme is completed.
In the invention, the display terminal 43 displays the power data, the power working condition information, the data preprocessing intermediate process and the scheduling decision result in an imaging way.
As can be seen from FIG. 10, when the humidity sensor 83 requires a large humidity measurement range, it needs to combine multiple humidity-sensitive resistors for use, the measurement range can only reach 20-80% RH, the power supply of the humidity-measuring bridge is composed of VT1, VT2 and T1, etc., the oscillation frequency is 250-1000Hz, the output signal of the bridge is coupled to VT3 through transformers T2 and C3, the signal amplified by VT3 is rectified by VD1-VD4 in a bridge type and then input into microampere meter, which indicates the change of current caused by the change of relative humidity, and the humidity is calibrated and plotted on the dial of the microampere meter.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides a power optimization scheduling system based on source net load storage coordination which characterized in that: the system comprises a central processing system (1), wherein the output end of the central processing system (1) is electrically connected with the input end of a dispatching management system (2) through a lead, the dispatching management system (2) is in bidirectional connection with a wireless transmission module (3) through a wireless mode, the wireless transmission module (3) is electrically connected with the input end of a human-computer interaction unit (4) through a wireless mode, the output end of the central processing system (1) is electrically connected with the input ends of the wireless transmission module (3) and the human-computer interaction unit (4) through leads respectively, the output end of the central processing system (1) is electrically connected with the input end of an electric power information acquisition system (5) through a lead, the output end of the electric power information acquisition system (5) is electrically connected with the input end of a feedback module (6) through a lead, and the output end of the feedback module (6) is electrically connected with the input end of the central processing system (1, the input end of the central processing system (1) is electrically connected with the output end of the follow-up management system (7) through a wire, and the input end of the central processing system (1) is electrically connected with the output end of the environment monitoring unit (8) through a wire.
2. The power optimization scheduling system based on source grid load-storage coordination according to claim 1, characterized in that: the dispatching management system (2) comprises an electric power working condition access module (21), and the output end of the electric power working condition access module (21) is electrically connected with the input end of the data preprocessing module (22) through a lead.
3. The power optimization scheduling system based on source grid load-storage coordination according to claim 2, characterized in that: the output end of the data preprocessing module (22) is electrically connected with the input end of the screening calculation module (23) through a lead, the output end of the screening calculation module (23) is electrically connected with the input end point of the scheduling decision unit (24) through a lead, and the scheduling decision unit (24) comprises a joint scheduling analysis module (241) and an expert decision analysis module (242).
4. The power optimization scheduling system based on source grid load-storage coordination according to claim 3, characterized in that: the output end of the scheduling decision unit (24) is electrically connected with the input end of the feasibility report generation module (25) through a lead, the human-computer interaction unit (4) comprises a storage unit (41), and the input end of the storage unit (41) is electrically connected with the output end of the microprocessor (42) through a lead.
5. The power optimization scheduling system based on source grid load-storage coordination according to claim 4, characterized in that: the output end of the microprocessor (42) is electrically connected with the input end of the display terminal (43) through a lead.
6. The power optimization scheduling system based on source grid load-storage coordination according to claim 1, characterized in that: the follow-up management system (7) comprises a data receiving module (71), and the input end of the data receiving module (71) is electrically connected with the output ends of the field data acquisition module (72) and the operation condition monitoring module (73) through a lead.
7. The power optimization scheduling system based on source grid load-storage coordination according to claim 6, characterized in that: the output end of the data receiving module (71) is electrically connected with the input end of the power dispatching platform (74) through a wire, the power dispatching platform (74) is in bidirectional connection with the scheme adjusting module (75) through wireless, and the output end of the scheme adjusting module (75) is electrically connected with the input end of the instruction issuing module (76) through a wire.
8. The power optimization scheduling system based on source grid load-storage coordination according to claim 1, characterized in that: the environment monitoring unit (8) comprises a temperature sensor (81), a smoke sensor (82) and a humidity sensor (83), the power information acquisition system (5) comprises an information acquisition unit (51) and a video information acquisition module (52), and the information acquisition unit (51) comprises a voltage acquisition module (511), a current acquisition module (512), a load detection module (513), a frequency detection module (514), an electric field strength detection module (515) and a magnetic field strength detection module (516).
9. A strategy method of a power optimization scheduling system based on source network load-storage coordination is characterized in that: the method specifically comprises the following steps:
s1, acquiring front end electric power data: the voltage acquisition module (511), the current acquisition module (512), the load detection module (513), the frequency detection module (514), the electric field strength detection module (515) and the magnetic field strength detection module (516) of the information acquisition unit (51) in the power information acquisition system (5) are used for regularly and quantitatively detecting and acquiring the voltage, the current, the load, the frequency, the electric field strength and the magnetic field strength of a specified monitoring management section, the temperature, the humidity and the smoke value of a side management area are monitored by the temperature sensor (81), the humidity sensor (83) and the smoke sensor (82) in the environment monitoring unit (8), the video image of the specified monitoring section is acquired by the video information acquisition module (52), and the acquired video data are sent to the display terminal (43) by the central processing system (1) through the wireless transmission module (3) to be displayed, meanwhile, the collected front-end electric power data are all sent to the interior of the dispatching management system (2);
s2, analyzing and formulating a scheduling scheme: the electric power working condition access module (21) in the dispatching management system (2) is accessed to basic electric power dispatching information such as real-time operation working conditions of each electric power device in S1 and collected front-end data, the data preprocessing module (22) carries out standardized analysis preprocessing on the received data, screening and calculation of actual conditions are carried out on the data preprocessed by the screening and calculating module (23), a dispatching scheme beneficial to improving the electric power condition is obtained by optimizing and calculating by adopting a multi-packet differential evolution algorithm according to a combined dispatching analysis module (241) in a dispatching decision unit (24), an expert decision analysis module (242) is used for analyzing and obtaining an alternative scheme of electric power dispatching, a final dispatching decision scheme is obtained by fusing the dispatching schemes, the final dispatching decision scheme is stored by a storage unit (41) and is sent to a display terminal (43) for display after being processed by a microprocessor (42), issuing a scheduling instruction;
s3, follow-up of the scheduling scheme: according to the S2, after the dispatching scheme is successfully issued and implemented, acquiring the power grid field data after power dispatching through a field data acquisition module (72) in the follow-up management system (7), monitoring the operation condition of the power grid in real time through an operation condition monitoring module (73), receiving all the detection data through a data receiving module (71), and then sending the detection data to a power dispatching platform (74);
s4, adjustment of a scheduling scheme: relevant electric power personnel carry out relevant adjustment on the electric power dispatching scheme through the scheme adjusting module (75) according to detection data displayed by the electric power dispatching platform (74) and according to the specific implementation deficiency of electric power dispatching, and an instruction issuing module (76) issues an adjusted control instruction until the electric power dispatching scheme is completed.
10. The strategy method of the power optimization scheduling system based on source grid load-storage coordination according to claim 9, characterized in that: and the display terminal (43) is used for carrying out imaging display on the electric power data, the electric power working condition information, the data preprocessing intermediate process and the scheduling decision result.
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