CN115498767A - Distributed power supply power grid cooperative control method based on 5G communication technology - Google Patents
Distributed power supply power grid cooperative control method based on 5G communication technology 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
- H02J13/00006—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
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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
- H02J13/00028—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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- 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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
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- Signal Processing (AREA)
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- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
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Abstract
S1, collecting operation data of power grid equipment by each sensor to a local data sorting module; s2, the data sorting module is used for removing data, and specifically comprises the following steps: s21, classifying the data according to the acquisition time and acquisition equipment and adding a mark, wherein the mark comprises two parts which respectively represent the acquisition time and the sensor number of the acquired data; s22, eliminating data of the same sensor according to the data utilization rate fed back by the computing server; s23, packaging and transmitting all the eliminated data to a computing server; s3, the calculation server calls data according to calculation requirements; and S4, the control server performs cooperative control on the power grid equipment according to the adjustment scheme output by the calculation server. According to the invention, data elimination is carried out according to the dynamically changed data utilization rate, the network bandwidth requirement is reduced, and the data is transmitted by combining a 5G communication network, so that the whole network cooperative control of a distributed power supply power grid is realized.
Description
Technical Field
The invention belongs to the technical field of electric power, relates to a distributed power control technology, and particularly relates to a distributed power grid cooperative control method based on a 5G communication technology.
Background
Distributed power devices refer to small modular, environmentally compatible, self-contained power sources with power of several kilowatts to 50 MW. These power sources are owned by the power department, the power consumer, or the 3 rd party to meet power system and consumer specific requirements. Such as peak regulation, power supply for remote users or business areas and residential areas, power transmission and transformation investment saving, power supply reliability improvement and the like. The distributed power supply is generally distributed at a user end and is connected to a power grid with a voltage level of 35kV or below so as to consume a power supply mainly on site. Including solar, natural gas, biomass, wind, water, hydrogen, geothermal, etc.
The distributed power generation is positioned at the user side and close to the load center, so that the construction cost and the loss of a power transmission and distribution network are greatly reduced; meanwhile, the distributed power generation planning and construction period is short, the investment is effective quickly, and the investment risk is small.
The distributed power supply has small single machine power, large quantity, large output change and large data volume, increases the detection and control difficulty of the distributed power grid, has predictability obviously lower than the power generation modes such as hydropower, thermal power, nuclear power and the like, and is difficult to effectively allocate.
The 5G is a new generation broadband mobile communication technology with the characteristics of high speed, low time delay and large connection as a novel mobile communication network, and the 5G communication facility is a network infrastructure for realizing man-machine-object interconnection. The explosive growth of traffic for enhancing mobile broadband can be provided for users; the ultra-high reliable low-delay communication (uRLLC) is oriented to the application requirements of the vertical industry with extremely high requirements on delay and reliability in industrial control and the like; mass machine type communication (mMTC) mainly faces to the application requirements of smart cities and the like which aim at sensing and data acquisition. The method can be applied to cooperative control of a distributed power grid.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention discloses a distributed power supply power grid cooperative control method based on a 5G communication technology.
The invention discloses a distributed power supply grid cooperative control method based on a 5G communication technology, which comprises the following steps of:
s1, collecting operation data of power grid equipment to a local data sorting module by each sensor;
s2, the data sorting module is used for removing data, and specifically comprises the following steps:
s21, classifying the data according to the acquisition time and acquisition equipment and adding a mark, wherein the mark comprises two parts which respectively represent the acquisition time and the sensor number of the acquired data;
s22, according to the data utilization rate fed back by the computing server, eliminating the data of the same sensor in the following mode: setting a sampling rate K, randomly reserving part of data according to the sampling rate within a set sampling time period T, and rejecting other data, wherein the sampling rate is greater than the data utilization rate;
s23, packaging and transmitting all the eliminated data to a computing server;
s3, the calculation server calls data according to calculation requirements, calculates the data utilization rate of the called data and transmits the data utilization rate back to the data arrangement module;
and S4, the control server performs cooperative control on the power grid equipment according to the adjustment scheme output by the calculation server.
Preferably, in the step S23, all the data after being removed are packed according to the collecting time; and classifying the data of each sensor which is acquired at the same time and is not removed into a data packet, and packaging and transmitting the data to the computing server.
Preferably, in the step S22, when the data usage rate is not fed back in the initial stage, data elimination is performed according to an initially set sampling rate, and an initial value of the sampling rate is set according to experience.
Preferably, in the step S22, the sampling rate K = α × P, P is a data usage rate, and α is a scaling factor greater than 1.
Preferably, the power grid equipment comprises a distributed power supply, an inverter, a combiner box and an electric load.
Preferably, in the step S3, the method for acquiring the data usage rate includes:
the method comprises the steps that a calculation server temporarily stores all data in a storage connected with the calculation server, the calculation server calls required data according to a time sequence according to the condition of a power grid to carry out calculation, each called data is recorded according to a data mark, and the number of the data called by the calculation server in a sampling time period is the data utilization rate.
Preferably, a plurality of communication nodes are arranged for the distributed power supply power grid, and the computing server performs peak staggering processing on data of each communication node in a time division multiplexing mode.
By adopting the distributed power supply power grid cooperative control method based on the 5G communication technology, data are removed according to the data utilization rate which changes dynamically, the requirement of network bandwidth is reduced, the data are transmitted in combination with the 5G communication network, the whole network cooperative control of the distributed power supply power grid is realized, and the accurate control of each local area can be realized in combination with the time division multiplexing technology.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a distributed power grid according to the present invention;
FIG. 2 is a flow chart illustrating an embodiment of the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
The distributed power supply power grid cooperative control method based on the 5G communication technology is used for controlling a power grid of a distributed power supply. For a power grid consisting of distributed power sources, power generation is expected to be digested nearby, namely, the power generation is used by a nearest user, so that the construction mileage of a high-voltage long-distance transmission line can be reduced, and the transmission loss is reduced.
For example, the end node side inverter generally adopts an RS485 interface for Modbus communication, the combiner box generally adopts an RS485 or RJ45 interface for Modbus communication, and the power metering device at the user side generally adopts a DL/T719-2000 communication protocol, so that a 5G private network remote communication mode needs to be adopted to realize data sharing of the power system, protocol conversion needs to be performed on the communication protocol of the system device, and through a multi-protocol system designed by an FPGA, different communication protocols between different devices can be mutually identified and converted, so that data sharing between devices is realized.
Because a large number of digital devices including sensors, control devices, terminal devices and the like are connected in the power grid communication network, a large amount of real data which are various, low in value density and disturbed by high strength, such as collection device data of combiner box current, inverter power, generated energy and the like, can be generated; active, reactive, radiometric, humiture, control information and other three remote (telemetering, remote signaling, remote control) data; load power consumption, load voltage variation, and the like. Therefore, the data screening is carried out on the electric power energy data to obtain efficient and available data.
The data to be collected include: collecting equipment data such as current of a combiner box, power of an inverter, generated energy and the like; active, reactive, radiometric, temperature and humidity, control information and other three remote data; load information such as load power consumption and load voltage variation.
However, due to the fact that the quantity of various wind power stations, solar power stations and the like in the distributed power grid is large, users are scattered, the quantity of inverters is large, if all transmission without screening is huge for real-time data transmission quantity, in reality, the output power and the power consumption state of each power supply, each inverter and each user in a certain time period are stable, and repeated calculation and adjustment are not necessary.
As shown in fig. 2, the distributed power grid cooperative control method based on the 5G communication technology includes the following steps:
s1, collecting operation data of power grid equipment to a local data sorting module by each sensor;
s2, the data sorting module is used for removing data, and specifically comprises the following steps:
s21, classifying the data according to the acquisition time and acquisition equipment and adding a mark, wherein the mark comprises two parts which respectively represent the acquisition time and the sensor number of the acquired data;
s22, according to the data utilization rate fed back by the computing server, eliminating the data of the same sensor in the following mode: setting a sampling rate K, randomly reserving part of data according to the sampling rate within a set sampling time period T, and rejecting other data, wherein the sampling rate is greater than the data utilization rate;
s23, packaging and transmitting all the eliminated data to a computing server;
s3, the calculation server calls data according to calculation requirements, calculates the data utilization rate of the called data and transmits the data utilization rate back to the data arrangement module;
and S4, the control server performs cooperative control on the power grid equipment according to the adjustment scheme output by the calculation server.
A typical distributed power grid is configured as shown in fig. 1, and includes various sensors connected to various grid devices, where the grid devices include distributed power supplies such as a wind turbine generator, a photovoltaic generator, and the like, an inverter, a combiner box, and the like, and the sensors are used to collect various data required for regulating and controlling the grid, including a current sensor, a voltage sensor, an electric meter, a temperature and humidity sensor, an active and reactive power sensor, and the like; each sensor is connected with a data sorting module, the number of the data sorting modules can be multiple, each data sorting module is connected with sensors in similar regions or on the same type of power grid equipment, the data transmission mode between the sensors and the data sorting modules can be carried out in a wired or wireless mode, and the data sorting modules comprise built-in analog-to-digital converters which can convert analog signals transmitted by the sensors into digital signals for processing.
The data arrangement module sends the arranged data to a second communication module of the computing server through a first communication module, wherein the first communication module and the second communication module are 5G communication modules, the packed data are transmitted by using a 5G technology, and the data arrangement module can be realized by utilizing the existing mature 5G mobile communication network without additional construction.
And the calculation server receives the data transmitted by the second communication module, calculates the data and outputs an adjustment scheme to the control server, and the control server controls and adjusts each power grid device.
Each sensor is connected on power, dc-to-ac converter and user end, and it is categorised to pack the data collection through data arrangement module, and data arrangement module is connected with a plurality of sensors in certain geographical range usually, data arrangement module's specific processing step is:
classifying the data and adding a mark, wherein the mark comprises two parts of content, acquisition time and a sensor number for acquiring the data;
according to the data utilization rate fed back by the computing server, the data of the same sensor are removed, and the removing mode is as follows: setting a sampling rate K, randomly reserving part of data according to the sampling rate in a set sampling time period T, and rejecting other data;
the sampling rate is greater than the data usage rate, for example, if the data usage rate of the sensor fed back by the computing server is P, the sampling rate K = α × P, and α is a scaling factor greater than 1, for example, α =1.5-10.
For example, a sampling time period T and a sampling rate K are set, and the minimum sampling unit is T0, then in the sampling time period, the original collected data volume is S0= T/T0, and the data volume remaining after the culling is S1= S0 × K.
Packaging all the removed data according to time nodes; the sensor data which are collected at the same time and are not rejected are classified into a data packet, and are packaged and transmitted to a first communication module;
for data with different formats, the data sorting module further needs to perform protocol conversion according to a data communication protocol by using a multi-protocol system to realize data sharing, and data conversion between different protocols and the shared multi-protocol system are prior art in the field and are not described herein again.
The first communication module sends the packed data to a computing server, and immediately receives the data utilization rate transmitted by the second communication module and sends the data utilization rate to the data sorting module;
and the second communication module connected with the computing server receives, decompresses and packetizes the packaged data sent by the first communication module, all temporarily stores the packaged data in a memory connected with the computing server, the computing server calls the required data according to the power grid condition and time sequence to calculate, each time the data is called, the data is recorded according to the mark of the data, and the quantity of the data called by the computing server in the sampling time period is the data utilization rate.
For example, if the sampling time period is 1 minute, and the calculation server retrieves 4 pieces of data with the same label in the 1 minute time period, the data sampling rate of the sensor corresponding to the label is 4 pieces/minute.
And sending the data utilization rate to the first communication module through the second communication module.
The first communication module sends the data utilization rate to the data sorting module, the data sorting module continuously adjusts the sampling rate K according to the data utilization rate updated immediately, and the sampling rate K = alpha P, alpha is always larger than 1, so that the data which can be obtained by the computing server is always larger than the required quantity, and the data transmission quantity is reduced due to the elimination of residual data.
For a power grid formed by a distributed power supply, a plurality of communication nodes can be set according to the type of a power supply, geographical distribution, the type of a user and the like, for example, in the power grid of the distributed power supply, 3 wind turbine generator groups and 4 photovoltaic turbine generator groups exist, each turbine generator group is provided with one communication node, a computing server can perform peak staggering processing on data of each communication node in a time division multiplexing mode, sensor data of each wind turbine generator group and sensor data of each optical auxiliary machine group are processed preferentially according to a certain time sequence, the data utilization rate P of the turbine generator group is increased during preferential processing, and the data utilization rate P of the turbine generator group is reduced after the processing is finished, so that the bandwidth requirement is reduced.
And the calculation server sends the adjustment measures to the control server according to the collected data, and the control server adjusts each device, such as adjusting the output of the inverter, an active reactive compensator connected with the inverter and the like, so as to optimize the operation of the power grid.
And in the initial operation stage, when the utilization rate of data which is not fed back by the server is calculated, the data sorting module performs data elimination according to the initially set sampling rate, and the initial value of the sampling rate can be set according to experience.
By adopting the distributed power supply power grid cooperative control method based on the 5G communication technology, data are removed according to the data utilization rate which changes dynamically, the requirement of network bandwidth is reduced, the data are transmitted by combining the 5G communication network, the whole network cooperative control of the distributed power supply power grid is realized, and the precise control of each local area can be realized by combining the time division multiplexing technology.
The functions described in the present invention, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention, where the storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk; the division of the units or modules is only one logical division, and there may be other divisions in actual implementation, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The foregoing is a description of preferred embodiments of the present invention, and the preferred embodiments in the preferred embodiments may be combined and combined in any combination, if not obviously contradictory or prerequisite to a certain preferred embodiment, and the specific parameters in the examples and the embodiments are only for the purpose of clearly illustrating the inventor's invention verification process and are not intended to limit the patent protection scope of the present invention, which is defined by the claims and the equivalent structural changes made by the content of the description of the present invention are also included in the protection scope of the present invention.
Claims (7)
1. The distributed power supply grid cooperative control method based on the 5G communication technology is characterized by comprising the following steps of:
s1, collecting operation data of power grid equipment to a local data sorting module by each sensor;
s2, the data sorting module is used for removing data, and specifically comprises the following steps:
s21, classifying the data according to the acquisition time and acquisition equipment and adding a mark, wherein the mark comprises two parts which respectively represent the acquisition time and the sensor number of the acquired data;
s22, according to the data utilization rate fed back by the computing server, removing the data of the same sensor in a mode that: setting a sampling rate K, randomly reserving part of data according to the sampling rate within a set sampling time period T, and rejecting other data, wherein the sampling rate is greater than the data utilization rate;
s23, packaging and transmitting all the eliminated data to a computing server;
s3, the calculation server calls data according to calculation requirements, calculates the data utilization rate of the called data and transmits the data utilization rate back to the data arrangement module;
and S4, the control server performs cooperative control on the power grid equipment according to the adjustment scheme output by the calculation server.
2. The distributed power grid cooperative control method according to claim 1, wherein in the step S23, all the data after being rejected are packed according to the collection time; and classifying the data of each sensor which is acquired at the same time and is not eliminated into a data packet, and packaging and transmitting the data packet to the computing server.
3. The distributed power grid cooperative control method according to claim 1, wherein in the step S22, when the data usage rate is not fed back in an initial stage, data elimination is performed according to an initially set sampling rate, and an initial value of the sampling rate is set according to experience.
4. The distributed power grid cooperative control method according to claim 1, wherein in the step S22, a sampling rate K = α × P, P is a data usage rate, and α is a scaling factor greater than 1.
5. The distributed power grid coordinated control method according to claim 1, wherein the grid equipment comprises a distributed power source, an inverter, a combiner box and an electric load.
6. The distributed power grid cooperative control method according to claim 1, wherein in the step S3, the method for obtaining the data usage rate includes:
the method comprises the steps that a calculation server temporarily stores all data in a storage connected with the calculation server, the calculation server calls required data according to a time sequence according to the condition of a power grid to carry out calculation, each called data is recorded according to a data mark, and the number of the data called by the calculation server in a sampling time period is the data utilization rate.
7. The distributed power grid cooperative control method according to claim 1, wherein a plurality of communication nodes are provided for the distributed power grid, and the computation server performs peak shifting processing on data of each communication node in a time division multiplexing manner.
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| CN116378639A (en) * | 2023-04-19 | 2023-07-04 | 山东省煤田地质局第三勘探队 | Shallow geothermal data acquisition equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116378639A (en) * | 2023-04-19 | 2023-07-04 | 山东省煤田地质局第三勘探队 | Shallow geothermal data acquisition equipment |
| CN116378639B (en) * | 2023-04-19 | 2024-03-19 | 山东省煤田地质局第三勘探队 | Shallow geothermal data acquisition equipment |
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