Multi-area mutual assistance method for analyzing mass distributed power supply system control
By adopting a multi-region large-capacity power supply and demand information collection and analysis system in a massive distributed power system, cross-regional communication and data analysis, supply and demand suggestions are generated, and multi-regional power mutual assistance is achieved, the problems of incoordination of power transmission and complex system dynamics in the power system are solved, and operation safety and energy utilization efficiency are improved.
Patent Information
- Application Number
- CN202411783388.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-06
- Publication Date
- 2025-03-11
AI Technical Summary
In operation, massive distributed power systems have problems such as incoordinated power transmission, reverse overload, and overvoltage. The operating characteristics of distributed power are quite different, resulting in complex dynamics and poor interactive and active support capabilities, which are prone to asynchronous power oscillations, threatening the operational safety of the power system.
A multi-region large-capacity power supply and demand information is collected through cross-region communication of communication modules and gateway modules, and historical power supply and demand information is collected in combination with data storage modules, system management analysis modules and dynamic resource management modules to analyze, generate supply and demand suggestions, and dispatch power through a multi-region power mutual aid scheduling system and a power trading system to realize power mutual aid in multiple regions.
It effectively solves the problems of incoordinated mutual transmission of power, reverse overload, and overvoltage in the power system, improves the coordination ability and system stability between distributed power supplies, reduces the risk of asynchronous power oscillation, and improves the operation safety of the power system and the energy utilization efficiency.
Smart Images
Figure CN119602394A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a multi-region mutual assistance method for electric energy, and in particular to a multi-region mutual assistance method for analyzing control of a massive distributed power supply system. Background Art
[0002] The operating characteristics of massive distributed power sources are different from those of traditional distribution networks. Massive distributed power sources are usually operated, maintained and managed by a single independent power company. The mutual transmission of electricity with other power company units needs to be coordinated by the superior department, and then the power transaction lacks active synchronization capability, and problems such as reverse overload and overvoltage are prominent; at the same time, affected by the primary energy generation characteristics under the jurisdiction of the power company, the operating characteristics of the grid-connected distributed power sources vary greatly and the control methods are different, resulting in complex system dynamics, poor interaction and active support capabilities between single distributed power sources and distribution networks, and poor networking flexibility. Asynchronous power oscillations are prone to occur between distributed power sources, which seriously threatens the safe operation of the power system; research on the stability of new distribution networks plays a very positive role in the current power system. By effectively controlling and coordinating the access of large-scale distributed power sources, reducing power quality problems, and optimizing power flow scheduling, the disaster resistance of the power grid can be improved. Summary of the invention
[0003] The purpose of the present invention is to disclose a method for analyzing multi-regional mutual assistance for massive distributed power system control based on the existing deficiencies, by collecting power consumption values of multiple regions and transferring them to power-deficient areas through massive analysis and instructions to obtain multi-regional power mutual assistance.
[0004] In order to achieve the purpose of the invention, the present application discloses the following technical solutions: A multi-region mutual assistance method for analyzing the control of massive distributed power systems, including a multi-region large-capacity power supply and demand information collection and analysis system; an annual, monthly, weekly and daily power supply and demand information analysis system; a power supply information analysis system; a power consumption information analysis system; a multi-region power mutual assistance dispatching system; a power trading system and a regional analysis management system; The multi-regional large-capacity power supply and demand information collection and analysis system collects various historical power supply and demand information through cross-regional communication by the communication module and the gateway module, and stores them respectively through the data storage module; the stored data is used as the basis for analysis through the system management and analysis module, and then the newly collected information is supplemented and added to the analysis content of the historical power supply and demand information through the dynamic resource management module; The annual, monthly, weekly and daily power supply and demand information analysis system is built into the multi-regional large-capacity power supply and demand information collection and analysis system. The analysis system compares the annual, monthly, weekly and daily power supply and demand information of previous years with the corresponding monthly, weekly and daily real-time power supply and demand information of the current time, and performs multi-regional historical power supply and power consumption analysis and comparison through the prediction model system; The power supply information analysis system includes the supply amount of various types of electricity, whether there is interruption or stability history records; the power consumption information analysis system includes the usage amount of various types of electricity, whether there is interruption or stability history records; then the power supply information analysis system and the power consumption information analysis system are displayed through charts, so that the multi-regional large-capacity power supply and demand information collection and analysis system can analyze and judge and give supply and demand suggestion instructions; The multi-regional power mutual assistance dispatching system accepts power grid dispatching according to the supply and demand suggestion instructions given by the multi-regional large-capacity power supply and demand information collection and analysis system according to the decision-making allocation module; The power trading system and the regional analysis and management system transfer the power in the power surplus area to the power shortage area through instructions according to the power grid dispatch to obtain power mutual assistance among multiple regions.
[0005] The analysis is oriented to a multi-regional mutual assistance method for controlling a massive distributed power system. The cross-regional communication of the multi-regional large-capacity power supply and demand information acquisition and analysis system includes the combined use of multiple communications or one of them. The multiple communications include but are not limited to Opgw, wdm or dwdm protocols, and are transmitted in encrypted form.
[0006] The analysis is oriented towards a multi-regional mutual assistance method for controlling a massive distributed power system. The cross-regional communication of the multi-regional large-capacity power supply and demand information collection and analysis system also includes wired networks, wireless networks, secure communication tunnels and identity authentication.
[0007] The analysis is aimed at a multi-regional mutual assistance method for controlling massive distributed power systems. The annual, monthly, weekly and daily electricity supply and demand information analysis system compares the annual, monthly, weekly and daily electricity supply and demand information of previous years with the corresponding monthly, weekly and daily real-time electricity supply and demand information at that time. The analysis system also includes comparison of past information on holidays, weather influencing factors, temperature influencing factors and newly included large-scale enterprise production influencing factors. The aforementioned influencing factors are analyzed and predicted through a prediction model system.
[0008] The analysis is oriented to the multi-regional mutual assistance method for controlling massive distributed power supply systems. The data collected by the annual, monthly, weekly and daily power supply and demand information analysis system include a comparison of the historical power supply records of zone A with the historical power consumption records of zone A; a comparison of the historical power supply records of zone B with the historical power consumption records of zone B; a comparison of the historical power supply records of zone C with the historical power consumption records of zone C; a comparison of the historical power supply records of zone D with the historical power consumption records of zone D; a comparison of the historical power supply records of zone E with the historical power consumption records of zone E; a comparison of the historical power supply records of zone F with the historical power consumption records of zone F; a difference is formed by the historical power supply and power consumption records of each corresponding area, and a better supply and demand recommendation instruction is obtained according to the historical difference and the actual supply and demand relationship through the information comparison and analysis system and the prediction model system.
[0009] The analysis is oriented to a multi-region mutual assistance method for controlling a massive distributed power system, and the chart of the power supply information analysis system includes a K-line chart display and a text explanation.
[0010] The analysis is oriented to a multi-regional mutual assistance method for controlling a massive distributed power system, and the multi-regional large-capacity power supply and demand information collection and analysis system is a provincial unit or a prefecture-level unit with subordinate counties and districts.
[0011] The analysis is oriented to a multi-regional mutual assistance method for controlling a massive distributed power system, and the power trading system and regional analysis and management system are provincial units or prefecture-level units with subordinate counties and districts.
[0012] Through the above disclosure, the beneficial effects of the present invention are: The multi-regional mutual assistance method for analyzing the control of massive distributed power supply systems described in the present invention obtains power supply information and power consumption information of the regional analysis and management system through the communication module, gateway module, data storage module, system management analysis module and dynamic resource management module built into the multi-regional large-capacity power supply and demand information acquisition and analysis system, analyzes the power supply and demand information on an annual, monthly, weekly and daily basis, and then gives supply and demand recommendation instructions based on the analysis data from the multi-regional power mutual assistance dispatching system to accept power grid dispatch, thereby further obtaining multi-regional power mutual assistance; the present invention can effectively allocate and utilize resources reasonably, thereby improving energy utilization efficiency and realizing intelligent power consumption. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] Figure 1 It is a multi-region mutual assistance flow chart of the analysis of the present invention for massive distributed power system control; Figure 2 It is a schematic diagram of the modules of the multi-regional large-capacity power supply and demand information collection and analysis system of the present invention; Figure 3 It is a schematic diagram of the modules of the annual, monthly, weekly and daily power supply and demand information analysis system of the present invention; Figure 4 It is a schematic diagram of the multi-regional electric power mutual assistance dispatching system module of the present invention; DETAILED DESCRIPTION
[0014] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings so as to more clearly understand the purpose, features and advantages of the present invention. It should be understood that the embodiments shown in the accompanying drawings are not intended to limit the scope of the present invention, but are only intended to explain that the technical solution of the present invention is not limited to one implementation method.
[0015] Combined with Figures 1 to 4 The analysis described in the multi-region mutual assistance method for massive distributed power system control includes a multi-region large-capacity power supply and demand information collection and analysis system; an annual, monthly, weekly and daily power supply and demand information analysis system; a power supply information analysis system; a power consumption information analysis system; a multi-region power mutual assistance dispatching system; a power trading system and a regional analysis management system; The multi-regional large-capacity power supply and demand information collection and analysis system is a provincial unit or a prefecture-level unit with subordinate counties and districts; The multi-regional large-capacity power supply and demand information collection and analysis system collects various historical power supply and demand information through cross-regional communication by the communication module and the gateway module, and stores them respectively through the data storage module; the stored data is used as the basis for analysis through the system management and analysis module, and then the newly collected information is supplemented and added to the analysis content of the historical power supply and demand information through the dynamic resource management module; The cross-regional communication of the multi-regional large-capacity power supply and demand information collection and analysis system includes the combined use of multiple communications or one of them, and the multiple communications include but are not limited to Opgw, wdm or dwdm protocols, and are transmitted in encrypted form; The cross-regional communication of the multi-regional large-capacity power supply and demand information collection and analysis system also includes wired networks, wireless networks, secure communication tunnels and identity authentication; The annual, monthly, weekly and daily power supply and demand information analysis system is built into the multi-regional large-capacity power supply and demand information collection and analysis system. The analysis system compares the annual, monthly, weekly and daily power supply and demand information of previous years with the corresponding monthly, weekly and daily real-time power supply and demand information of the current time, and performs multi-regional historical power supply and power consumption analysis and comparison through the prediction model system; The annual, monthly, weekly and daily power supply and demand information analysis system of the said annual, monthly, weekly and daily power supply and demand information of the previous years and the real-time power supply and demand information of the corresponding month, week and day at that time also includes the comparison of past information of holidays, weather influencing factors, temperature influencing factors and newly included large-scale enterprise production influencing factors, and the aforementioned influencing factors are analyzed and predicted by the prediction model system; specifically, the data collected by the said annual, monthly, weekly and daily power supply and demand information analysis system includes the comparison of the historical power supply records of the area A with the historical power consumption records of the area A; the comparison of the historical power supply records of the area B with the historical power consumption records of the area B; the comparison of the historical power supply records of the area C with the historical power consumption records of the area C; the comparison of the historical power supply records of the area D with the historical power consumption records of the area D; Comparison of historical power supply records in Zone E with historical power consumption records in Zone E; Comparison of historical power supply records in Zone F with historical power consumption records in Zone F; The difference between historical power supply and power consumption records in each corresponding area is used to obtain better supply and demand recommendation instructions based on historical differences and actual supply and demand relationships through information comparison and analysis systems and prediction model systems; The power supply information analysis system includes the supply amount of various types of electricity, whether there is interruption or stability history records; the power consumption information analysis system includes the usage amount of various types of electricity, whether there is interruption or stability history records; then the power supply information analysis system and the power consumption information analysis system are displayed through charts "including K-line chart display and text explanation" so that the multi-regional large-capacity power supply and demand information collection and analysis system can analyze and judge and give supply and demand suggestion instructions; The multi-regional power mutual assistance dispatching system accepts power grid dispatching according to the supply and demand suggestion instructions given by the multi-regional large-capacity power supply and demand information collection and analysis system according to the decision-making allocation module; The power trading system and the regional analysis and management system transfer the power in the power surplus area to the power shortage area through instructions according to the power grid dispatch to obtain power mutual assistance among multiple regions.
[0016] The power trading system and regional analysis and management system are provincial units or prefecture-level units with subordinate counties and districts; the subordinate units will include the industrial zone power grids under their jurisdiction, "industrial zones usually have a large amount of energy demand. By applying new control technologies, the distributed power resources in the industrial zones can be better managed and coordinated to improve the stability of the power grid", rural power grids, "rural areas often face the problem of unstable power supply. New distribution network stability enhancement control technology can help rural power grids better integrate distributed energy resources in rural areas and improve the reliability of power supply", microgrids, "microgrids are independently operated small power systems. New control technologies can be used to optimize energy scheduling within microgrids and achieve efficient and stable operation of microgrids", energy-intensive industries, "such as data centers, mines, steel, etc., which usually have high energy demands. New control technologies can improve energy utilization efficiency and power grid stability in these industries" and smart buildings, "in smart buildings, new distribution network stability enhancement control technologies can be used to better manage energy distribution within buildings, realize smart electricity use, and improve energy utilization efficiency" into the coordination scope, which can effectively reduce the waste of electric energy.
[0017] The power trading system can conduct regional quotation bidding while trading.
[0018] The preferred embodiments of the present invention have been described in detail above, but it should be understood that after reading the above teachings of the present invention, those skilled in the art may make various changes or modifications within the scope of protection of the present invention. These equivalent forms also fall within the scope defined by the claims attached to this application.
[0019] The parts not described in detail in this invention are prior art.
Claims
1. A multi-regional mutual assistance method for massive distributed power system control, characterized by: Includes a multi-regional large-capacity power supply and demand information collection and analysis system; Annual, monthly, weekly and daily power supply and demand information analysis system; power supply information analysis system; power consumption information analysis system; multi-regional power mutual assistance dispatching system; power trading system and regional analysis management system; The multi-regional large-capacity power supply and demand information collection and analysis system collects various historical power supply and demand information through cross-regional communication by the communication module and the gateway module, and stores them respectively through the data storage module; the stored data is used as the basis for analysis through the system management and analysis module, and then the newly collected information is supplemented and added to the analysis content of the historical power supply and demand information through the dynamic resource management module; The annual, monthly, weekly and daily power supply and demand information analysis system is built into the multi-regional large-capacity power supply and demand information collection and analysis system. The analysis system compares the annual, monthly, weekly and daily power supply and demand information of previous years with the corresponding monthly, weekly and daily real-time power supply and demand information of the current time, and performs multi-regional historical power supply and power consumption analysis and comparison through the prediction model system; The power supply information analysis system includes the supply amount of various types of electricity, whether there is interruption or stability history records; the power consumption information analysis system includes the usage amount of various types of electricity, whether there is interruption or stability history records; then the power supply information analysis system and the power consumption information analysis system are displayed through charts, so that the multi-regional large-capacity power supply and demand information collection and analysis system can analyze and judge and give supply and demand suggestion instructions; The multi-regional power mutual assistance dispatching system accepts power grid dispatching according to the supply and demand suggestion instructions given by the multi-regional large-capacity power supply and demand information collection and analysis system according to the decision-making allocation module; The power trading system and the regional analysis and management system transfer the power in the power surplus area to the power shortage area through instructions according to the power grid dispatch to obtain power mutual assistance among multiple regions.
2. The method for analyzing multi-regional mutual assistance for massive distributed power system control according to claim 1 is characterized by: The cross-regional communication of the multi-regional large-capacity electricity supply and demand information collection and analysis system includes the combined use of multiple communications or one of them, and the multiple communications include but are not limited to Opgw, wdm or dwdm protocols, and are transmitted in encrypted form.
3. The method for analyzing multi-regional mutual assistance for massive distributed power system control according to claim 2 is characterized by: The cross-regional communication of the multi-regional large-capacity electricity supply and demand information collection and analysis system also includes wired networks, wireless networks, secure communication tunnels and identity authentication.
4. The method for analyzing multi-regional mutual assistance for massive distributed power system control according to claim 1 is characterized by: The annual, monthly, weekly and daily electricity supply and demand information analysis system compares the annual, monthly, weekly and daily electricity supply and demand information of previous years with the corresponding monthly, weekly and daily real-time electricity supply and demand information at that time. The analysis system also includes comparison of past information on holidays, weather influencing factors, temperature influencing factors and newly included large-scale enterprise production influencing factors. The aforementioned influencing factors are analyzed and predicted through the prediction model system.
5. The method for analyzing multi-regional mutual assistance for massive distributed power system control according to claim 1 is characterized by: The data collected by the annual, monthly, weekly and daily electricity supply and demand information analysis system include a comparison of the historical power supply records of area A with the historical electricity consumption records of area A; a comparison of the historical power supply records of area B with the historical electricity consumption records of area B; a comparison of the historical power supply records of area C with the historical electricity consumption records of area C; a comparison of the historical power supply records of area D with the historical electricity consumption records of area D; a comparison of the historical power supply records of area E with the historical electricity consumption records of area E; a comparison of the historical power supply records of area F with the historical electricity consumption records of area F; a difference is formed by the historical power supply and electricity consumption records of each corresponding area, and a better supply and demand recommendation instruction is obtained according to the historical difference and the actual supply and demand relationship through the information comparison and analysis system and the prediction model system.
6. The multi-regional mutual assistance method for analyzing massive distributed power system control according to claim 1 is characterized by: The charts of the power supply information analysis system include K-line chart display and textual explanation.
7. The multi-regional mutual assistance method for analyzing massive distributed power system control according to claim 1 is characterized by: The multi-regional large-capacity electricity supply and demand information collection and analysis system is a provincial unit or a prefecture-level unit with subordinate counties and districts.
8. The multi-regional mutual assistance method for analyzing massive distributed power system control according to claim 1 is characterized by: The power trading system and regional analysis and management system are provincial units or prefecture-level units with subordinate counties and districts.