Method for analyzing dynamic stability of power distribution network

Abstract

An analysis method for dynamic stability of a power distribution network relates to a stability analysis method for the power distribution network, a data acquisition connector and a data authority acquisition system are built in a main analysis system, and the data acquisition connector is respectively connected with an analysis system of a subordinate electric power company and a service port data authority; an analysis system of a subordinate electric power company collects the electricity utilization state of each customer of an electric power distribution system of the subordinate electric power company in real time, a database is built, and a power supply and electricity utilization K line graph is given by the database; incremental power demand or decrement power consumption information is collected in time through the analysis system, and an effective solution is found out through data analysis.

Description

Technical Field

[0001] The present invention relates to a method for analyzing the stability of a distribution network, and in particular to a method for analyzing the dynamic stability of a distribution network. Background Art

[0002] At present, the environmental, climate and energy problems caused by the rapid development of the world economy are becoming more and more prominent. In order to achieve the sustainability of my country's economic development, vigorously promoting the development of new energy industries and reasonable layout has become the mainstream of society; the basic requirements of the country for electric energy are to achieve the economy, environmental protection, safety and reliability of power supply; distributed power sources (DG) that can use renewable clean energy for power generation have the advantages of environmental protection, low investment, flexible power generation methods, low operating costs, high reliability, etc. Compared with the centralized power generation method of large power grids, they have obvious advantages, and their role in distribution networks will become more and more prominent; therefore, the combination of centralized power supply of large power grids and decentralized access of distributed power sources is an important development trend of power grid construction; in order to match the introduction and control of new energy, reduce the power system from small or large interference, maintain the ability of the entire power system to operate stably over a long period of time, effectively overcome the problem of voltage instability and reduce the occurrence of accidents, it is necessary to analyze the stability of the distribution network and find effective solutions. Summary of the invention

[0003] The purpose of the present invention is to disclose a method for analyzing the dynamic stability of a distribution network based on the existing deficiencies, using an analysis system to timely collect information on incremental power demand or reduced power consumption, and to find an effective solution through data analysis.

[0004] In order to achieve the purpose of the invention, the present application discloses the following technical solutions: A method for analyzing the dynamic stability of a distribution network, wherein a data acquisition connector and a data authority acquisition system are built in a main analysis system, wherein the data acquisition connector is connected to an analysis system and a business port data authority of a subordinate power company respectively, and the analysis system of the subordinate power company collects the power consumption status of each customer of the power distribution system of the subordinate power company in real time, builds a database, and provides a power supply and power consumption K-line chart from the database; Obtain data permissions of subordinate power companies, including user data permissions and service port data permissions; Setting permissions for the database and the business system database of the subordinate power company based on the data permissions; Obtain matching service ports and service data information according to the permission settings; Extracting data sources from the database according to the business data information, and displaying the extracted data sources in real time on a display; When there is a large error between power supply and demand, the error data model is called by matching the business port to process and analyze the extracted data source, and the power supply and power consumption K-line chart is displayed on the monitor to give the incremental power demand or reduced power consumption information, and the cause of the error is displayed through historical data comparison. When the error is greater than the set value, an alarm is issued.

[0005] The analysis method of the dynamic stability of the distribution network, the data acquisition connector respectively collects the daily peak or valley period information of various customers according to the subordinate power company analysis system, the collected information is used to match the power supply party's incoming call usage, and the optimal state K-line chart of supply and demand is obtained from the collected information and the incoming call usage; The power supply and power consumption K-line chart and fluctuation time points are given according to the optimal supply and demand status. Based on the obtained fluctuation time points, the subordinate power companies understand the situation and give text description information at the corresponding points at the bottom of the K-line chart. The K-line chart and text description information are pushed to the display of the decision-making department in real time for decision-making.

[0006] The analysis method of the dynamic stability of the distribution network is that the subordinate power company understands the situation and gives a text description of the information including the customer's regular power consumption information, sudden power increase and decrease information, reasons for increase and decrease, power source, power customer name and customer category.

[0007] In the method for analyzing the dynamic stability of the distribution network, the customer categories include commercial electricity users, high-energy-consuming enterprises, industrial and mining enterprises, and residential electricity users.

[0008] The analysis method for the dynamic stability of the distribution network, the power sources include wind power generation, solar power generation, energy storage power generation, thermal power plants and state grid power dispatch.

[0009] In the analysis method of the dynamic stability of the distribution network, the subordinate power company can obtain a request for changing the customer category and the power source, and the request for changing the customer category and the power source includes deleting or adding the customer category and the power source; based on the request for changing the customer category and the power source, the corresponding business system is created or deleted, and the shared database is synchronously updated at the same time, and when the customer category and the power source are deleted, there is data retention in the shared database; The electricity consumption K-line chart can be visually adjusted based on customer category and power source change requests.

[0010] The analysis method of the dynamic stability of the distribution network is to build a data acquisition connector and a data authority acquisition system in the main analysis system, the data acquisition connector is respectively connected to the analysis system and business port data authority of the subordinate power company, the data acquisition connector is respectively based on the daily peak or valley period information of various customers collected by the analysis system of the subordinate power company, the analysis system of the subordinate power company collects the power consumption status of each customer of the power distribution system of the subordinate power company in real time, and build a database, the collected information is used to match the incoming call usage of the power supplier, and the database gives the specific values ​​of the collected information and the incoming call usage to obtain the optimal supply and demand state power supply and power consumption K-line chart; According to the optimal supply and demand status, the power supply and power consumption K-line chart and fluctuation time points are given. Based on the obtained fluctuation time points, the subordinate power companies understand the situation and give text description information through the corresponding points at the bottom of the K-line chart on the display. The K-line chart and text description information are pushed to the display of the decision-making department in real time for decision-making; When there is a large error between power supply and demand, the subordinate power company will understand the situation and give a text description, including the customer's regular electricity consumption information, sudden increase or decrease in electricity consumption, reasons for increase or decrease, power source, power customer name and customer category. The customer categories include commercial electricity, high-energy-consuming enterprises, industrial and mining enterprises and residential electricity. The power sources include wind power generation, solar power generation, energy storage power generation, thermal power plants and State Grid power dispatch. The error data model is called by matching the business port to process and analyze the extracted data source, and the power supply and power consumption K-line chart is displayed on the monitor to give incremental power demand or reduced power consumption information, and the cause of the error is displayed by comparing historical data. When the error is greater than the set value, an alarm is given.

[0011] The subordinate power company can obtain the customer category and power source change request, which includes deleting or adding the customer category and power source; based on the customer category and power source change request, create or delete the corresponding business system, and simultaneously update the shared database; when deleting the customer category and power source, there is data retention in the shared database; The electricity consumption K-line chart can be visually adjusted based on customer category and power source change requests.

[0012] Through the above disclosure, the beneficial effects of the present invention are: The method for analyzing the dynamic stability of the distribution network described in the present invention aggregates the incoming call information of subordinate power companies and the power consumption information of customers, and then the main analysis system displays the real-time collected incremental power demand or reduced power consumption information through a K-line chart, and finds an effective solution for subsequent power balancing through data analysis; the present invention enables distributed power sources to achieve self-control, protection and management, and provides conditions for forming an intelligent distribution network that can be integrated into the power grid and can also operate in an isolated island. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a schematic flow chart of the method for analyzing the dynamic stability of a distribution network 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 Figure 1 The analysis method for dynamic stability of the distribution network described in the above, the main analysis system uses MySQL, Oracle or SQL Server and other replaceable relational database management systems for data storage, query and management functions, the relational database management system is connected to the display, and a data acquisition connector and a data authority acquisition system are built in the main analysis system, wherein the analysis system of the subordinate power company can adopt the above relational database management system, the data acquisition connector is respectively connected to the analysis system and business port data authority of the subordinate power company, the analysis system of the subordinate power company collects the power consumption status of each customer of the power distribution system of the subordinate power company in real time, builds a database, and the database provides the power supply and power consumption K-line chart; The main analysis system database is provided with a construction module, which is used to build a data connector with the subordinate power company analysis system. Similarly, the subordinate power company analysis system is provided with a receiving and uploading construction module to form a construction shared database; The data authority acquisition module in the main analysis system is used to obtain the data authority of the subordinate power company; the authority setting module is used to set the authority of the shared database and the business system database of the subordinate power company according to the data authority; the authority verification and sending module of the main analysis system is used to extract the data source from the shared database and send the authority verification window; the processing and analysis module is used to extract the data source accordingly when the verification authority is passed, and output the business processing results after processing and analysis; Obtain data permissions of subordinate power companies, including user data permissions and service port data permissions; Setting permissions for the database and the business system database of the subordinate power company based on the data permissions; The subordinate power companies include subordinate county-level power companies and district-level power companies in the main urban area. The analysis systems set up by these subordinate power companies mainly collect data on various incoming calls and power supply ports. The main analysis system that can access the port data and the access of the subordinate power companies need to verify the identity information. The verification of the identity information includes the key and the corresponding authority and password verification, so that the API interface and application program interface can give the corresponding authorization; The purpose of permission setting is to ensure the security and confidentiality of data and protect data from being accessed, tampered, deleted or read by unauthorized personnel. The permissions granted are limited to access, reading and modification within a certain scope and permission given by each interface. Obtain matching service ports and service data information according to the permission settings; Extracting data sources from the database according to the business data information, and displaying the extracted data sources in real time on a display of the main analysis system; When there is a large error between power supply and demand, the error data model is called by matching the business port to process and analyze the extracted data source, and the power supply and power consumption K-line chart is displayed on the monitor to give the incremental power demand or reduced power consumption information, and the cause of the error is displayed through historical data comparison. When the error is greater than the set value, an alarm is issued; for example, a subordinate power company has an emergency power grid maintenance and occupies the customer's power time. The subordinate power company will give the specific reason, occupancy time and processing results. When making modifications, the relevant leaders or on-duty personnel will be notified of the changes and change time in a timely manner through text messages and sound alarms.

[0016] The analysis method of the dynamic stability of the distribution network, the data acquisition connector respectively collects the daily peak or valley period information of various customers according to the subordinate power company analysis system, the collected information is used to match the power supply party's incoming call usage, and the optimal state K-line chart of supply and demand is obtained from the collected information and the incoming call usage; The power supply and power consumption K-line chart and fluctuation time points are given according to the optimal supply and demand status. Based on the obtained fluctuation time points, the subordinate power companies understand the situation and give text description information at the corresponding points at the bottom of the K-line chart. The K-line chart and text description information are pushed to the display of the decision-making department in real time for decision-making.

[0017] Among them, the subordinate power companies understand the situation and give a written explanation of the information including the customer's regular electricity consumption information, sudden increase or decrease in electricity consumption, reasons for increase or decrease, power sources, names of electricity users and customer categories; the customer categories include commercial electricity, high-energy-consuming enterprises, industrial and mining enterprises and residential electricity; the power sources include wind power generation, solar power generation, energy storage power generation, thermal power plants and State Grid power dispatch.

[0018] The analysis method of the dynamic stability of the distribution network described above, the subordinate power company can obtain the customer category and power source change request, the customer category and power source change request includes deleting or adding customer category and power source, such as a solar power generation equipment switching to a large battery energy storage or energy storage hydropower station, and of course also includes the application of new technologies such as power storage, heat storage, gas storage, cold storage, hydrogen storage, etc. after promotion; based on the customer category and power source change request, create or delete the corresponding business system, and synchronously update the shared database at the same time, when the customer category and power source are deleted, there is data retention in the shared database; That is, a change request is received from a subordinate power company, which clearly indicates that a specific unit including customer categories and power sources is to be deleted or added, so that the system can recognize the rationality of the change and be correctly recorded for query or tracing, where the change does not delete the relevant information, and the data is marked as deleted or moved to an archive table, so as to retain historical data for future reference or data recovery; The electricity consumption K-line chart can be visually adjusted based on customer category and power source change requests.

[0019] A data collection connector and a data authority acquisition system are built in the main analysis system. The data collection connector is connected to the analysis system and business port data authority of the subordinate power company respectively. The data collection connector is based on the daily peak or valley period information of various customers collected by the analysis system of the subordinate power company. The analysis system of the subordinate power company collects the power consumption status of each customer of the power distribution system of the subordinate power company in real time, builds a database, and the collected information is used to match the power supply party's incoming call usage. The database gives the specific values ​​of the collected information and the incoming call usage to obtain the optimal supply and demand state power supply and power consumption K-line chart; According to the optimal supply and demand status, the power supply and power consumption K-line chart and fluctuation time points are given. Based on the obtained fluctuation time points, the subordinate power companies understand the situation and give text description information through the corresponding points at the bottom of the K-line chart on the display. The K-line chart and text description information are pushed to the display of the decision-making department in real time for decision-making; When there is a large error between power supply and demand, the subordinate power company will understand the situation and give a text description, including the customer's regular electricity consumption information, sudden increase or decrease in electricity consumption, reasons for increase or decrease, power source, power customer name and customer category. The customer categories include commercial electricity, high-energy-consuming enterprises, industrial and mining enterprises and residential electricity. The power sources include wind power generation, solar power generation, energy storage power generation, thermal power plants and State Grid power dispatch. The error data model is called by matching the business port to process and analyze the extracted data source, and the power supply and power consumption K-line chart is displayed on the monitor to give incremental power demand or reduced power consumption information, and the cause of the error is displayed by comparing historical data. When the error is greater than the set value, an alarm is given.

[0020] The subordinate power company can obtain the customer category and power source change request, which includes deleting or adding the customer category and power source; based on the customer category and power source change request, create or delete the corresponding business system, and simultaneously update the shared database; when deleting the customer category and power source, there is data retention in the shared database; The electricity consumption K-line chart can be visually adjusted based on customer category and power source change requests.

[0021] The K-line chart is generated by the calculation module of the main analysis system through the encoder and obtains data to generate the K-line chart of each unit. The K-line chart is identified by different colors or line thicknesses.

[0022] 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.

[0023] The parts not described in detail in this invention are prior art.

Claims

1. A method for analyzing the dynamic stability of a distribution network, characterized in that: The main analysis system builds a data collection connector and a data authority acquisition system. The data collection connector is connected to the analysis system and business port data authority of the subordinate power company respectively. The analysis system of the subordinate power company collects the power consumption status of each customer of the power distribution system of the subordinate power company in real time, builds a database, and the database provides the power supply and power consumption K-line chart; Obtain data permissions of subordinate power companies, including user data permissions and service port data permissions; Setting permissions for the database and the business system database of the subordinate power company based on the data permissions; Obtain matching service ports and service data information according to the permission settings; Extracting data sources from the database according to the business data information, and displaying the extracted data sources in real time on a display; When there is a large error between power supply and demand, the error data model is called by matching the business port to process and analyze the extracted data source, and the power supply and power consumption K-line chart is displayed on the monitor to give the incremental power demand or reduced power consumption information, and the cause of the error is displayed through historical data comparison. When the error is greater than the set value, an alarm is issued.

2. The method for analyzing the dynamic stability of a distribution network according to claim 1, characterized in that: The data acquisition connector collects the daily peak or valley period information of various customers according to the subordinate power company analysis system. The collected information is used to match the incoming call usage of the power supplier, and the optimal state K-line chart of supply and demand is obtained from the collected information and the incoming call usage; The power supply and power consumption K-line chart and fluctuation time points are given according to the optimal supply and demand status. Based on the obtained fluctuation time points, the subordinate power companies understand the situation and give text description information at the corresponding points at the bottom of the K-line chart. The K-line chart and text description information are pushed to the display of the decision-making department in real time for decision-making.

3. The method for analyzing the dynamic stability of a distribution network according to claim 2, characterized in that: The subordinate power company understands the situation and gives a written explanation, which includes the customer's regular electricity consumption information, sudden increase or decrease in electricity consumption, reasons for increase or decrease, power source, name of electricity user and customer category.

4. The method for analyzing the dynamic stability of a distribution network according to claim 3 is characterized in that: The customer categories include commercial electricity users, high energy-consuming enterprises, industrial and mining enterprises, and residential electricity users.

5. The method for analyzing the dynamic stability of a distribution network according to claim 1, characterized in that: The electricity sources include wind power generation, solar power generation, energy storage power generation, thermal power plants and state grid power dispatch.

6. The method for analyzing the dynamic stability of a distribution network according to claim 1, characterized in that: Subordinate power companies may obtain requests for changes to customer categories and electricity sources, where the requests for changes to customer categories and electricity sources include deleting or adding customer categories and electricity sources; Based on the customer category and electricity source change request, the corresponding business system is created or deleted, and the shared database is updated synchronously. When the customer category and electricity source are deleted, there is data retention in the shared database; The electricity consumption K-line chart can be visually adjusted based on customer category and power source change requests.

7. The method for analyzing the dynamic stability of the distribution network is characterized by: Implement the method for analyzing the dynamic stability of the distribution network as described in any one of claims 1 to 6, build a data acquisition connector and a data permission acquisition system in the main analysis system, the data acquisition connector is respectively connected to the analysis system and business port data permission of the subordinate power company, the data acquisition connector is respectively based on the daily peak or valley period information of various customers collected by the analysis system of the subordinate power company, the analysis system of the subordinate power company collects the power consumption status of each customer of the power distribution system of the subordinate power company in real time, builds a database, the collected information is used to match the incoming call usage of the power supplier, and the database gives the specific values ​​of the collected information and the incoming call usage to obtain the optimal supply and demand state power supply and power consumption K-line chart; According to the optimal supply and demand status, the power supply and power consumption K-line chart and fluctuation time points are given. Based on the obtained fluctuation time points, the subordinate power companies understand the situation and give text description information through the corresponding points at the bottom of the K-line chart on the display. The K-line chart and text description information are pushed to the display of the decision-making department in real time for decision-making; When there is a large error between power supply and demand, the subordinate power company will understand the situation and give a text description, including the customer's regular power consumption information, sudden power increase and decrease information, increase and decrease reasons, power source, power customer name and customer category. The customer category includes commercial power consumption, high energy-consuming enterprises, industrial and mining enterprises and residential power consumption. The power source includes wind power generation, solar power generation, energy storage power generation, thermal power plants and State Grid power dispatch. The error data model is called by matching the business port to process and analyze the extracted data source, and the power supply and power consumption K-line chart is displayed on the display to give the incremental power demand or reduced power consumption information, and the error cause is displayed by comparing historical data. When the error is greater than the set value, an alarm prompt is given; Subordinate power companies may obtain requests for changes to customer categories and electricity sources, where the requests for changes to customer categories and electricity sources include deleting or adding customer categories and electricity sources; Based on the customer category and electricity source change request, the corresponding business system is created or deleted, and the shared database is updated synchronously. When the customer category and electricity source are deleted, there is data retention in the shared database; The electricity consumption K-line chart can be visually adjusted based on customer category and power source change requests.

Images