Distribution network data management and verification system of power grid
By designing the distribution network data management and verification system, and using the data verification module to check and analyze the distribution network data, the problem of line parameters changes and inconvenient management in the distribution network is solved, and the safe and stable operation of the distribution network is achieved and Power supply reliability assessment.
Patent Information
- Application Number
- CN202411651823.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-19
- Publication Date
- 2025-02-25
AI Technical Summary
The line parameters in the distribution network change with aging and environmental changes, and there are problems such as user line changes, missing parameters and human input errors, which lead to inconvenient management of the distribution network and require timely verification.
A distribution network data management and verification system for power grids is designed, including central processing module, storage module, data acquisition module, data verification module, alarm module and post-processing module. The data verification module checks and analyzes the user profile, station area line loss, power consumption and equipment operation data through the first verification module and the second verification module, identifies abnormal data and formulates alarms and processing plans.
Effective monitoring of the distribution network and power supply reliability assessment are achieved, ensuring the safe and stable operation of the distribution network, and providing a governance basis through data governance and abnormal detection.
Smart Images
Figure CN119513077A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of power grid management, and in particular to a distribution network data management and verification system for a power grid. Background Art
[0002] In recent years, with the continuous deepening of the construction of new power systems, a large number of distributed new energy, electric vehicles, mobile energy storage, etc. have been connected to the power grid, which has aggravated the complexity of the grid structure, making the distribution network with weak grid structure and low automation level face more severe risks of safe and stable operation. In order to cope with the dual complex uncertainty of source and load and ensure the safe, reliable and stable power supply of the system, it is necessary to judge the operating status of the system in real time, perform state estimation, heavy overload analysis, network topology reconstruction, etc. These upper-level business applications all rely on accurate system network parameters.
[0003] However, in the past, most distribution networks only used offline methods to store static line parameters, but line parameters will change with line aging, changes in ambient temperature, line maintenance, etc. In addition, there are also user line changes, missing line parameters, and human input errors, which bring great inconvenience to distribution network management and require timely verification. Summary of the invention
[0004] The purpose of the present invention is to provide a distribution network data management and verification system for a power grid to solve the problems raised in the above-mentioned background technology.
[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a distribution network data management and verification system of a power grid, comprising a central processing module, a storage module, a data acquisition module, a data verification module, an alarm module and a post-processing module, wherein the central processing module is bidirectionally connected to the storage module, the data acquisition module and the data verification module, the output end of the data verification module is connected to the input end of the alarm module and the post-processing module, the storage module is used to store distribution network related data, the data acquisition module is used to acquire distribution network related data, the data verification module verifies and analyzes the distribution network related data acquired by the data acquisition module, the alarm module is used to issue an alarm notification when the data verification module makes an abnormal judgment on the distribution network related information, and the post-processing module is used to formulate a corresponding processing plan after the data verification module completes the verification of the distribution network related data.
[0006] Preferably, the distribution network related data acquired by the data acquisition module include user profile information, line loss related data, substation power consumption data, current and voltage related data, and equipment related data.
[0007] Preferably, the data verification module includes a first verification module and a second verification module.
[0008] Preferably, the first verification module includes a file processing unit, a line loss processing unit, and an electric quantity processing unit; The file processing unit is used to analyze and check the user file data of the substation area, mainly to analyze and check the abnormality of the station, busbar, transmission line, distribution line, substation area, high-voltage user and low-voltage user files; The line loss processing unit is used to calculate the line loss of the substation line, and analyze and process the calculation results of the line loss. For the line loss rate data generated after the line loss calculation, according to the line loss assessment indicators, line loss business common sense and the set line loss rate available threshold, etc., the abnormal line loss rate data of the substation area is judged, and the loss rate is divided into four levels from low to high, namely low loss, high loss, excessive loss and super large loss. In particular, the excessive loss level or above is directly judged as data abnormality, and then further located according to the diagnosis and analysis function; The power processing unit is used to analyze and process the power consumption of the user.
[0009] Preferably, the line loss processing unit includes a theoretical calculation unit, an area function unit, a function training unit, a regression calculation unit and a line loss calculation unit; When calculating the line loss of the substation, the line loss processing unit first adopts the regional feature method to select a typical substation, and inputs the characteristic parameters, power supply, power sales and other parameters of the typical substation into the theoretical calculation unit to obtain the line loss rate of the typical substation; then the typical substation data is input into the substation function unit to form a sample substation set, forming a sample substation set to provide samples for subsequent data mining training; the sample substation set is input into the function training unit, and the function training unit classifies the sample substations to form classification principles and obtain sample substations of various categories; the classified sample substations of various categories are input into the regression calculation unit to obtain various categories. The classification principle and the multivariate linear regression calculation model of line loss rate in each category of substations are transmitted to the line loss calculation unit, and the line loss calculation unit updates the data of the classification principle and the multivariate linear regression calculation model of line loss rate in each category of substations, continuously optimizes and updates the line loss classifier, so that the line loss classifier continues to evolve and improves the processing capacity of the substation line loss classifier. The line loss calculation unit collects the information of each substation, classifies each substation according to the updated classification principle, attaches the substation category electronic label, and uses the updated multivariate linear regression calculation model to obtain the line loss rate of each substation.
[0010] Preferably, when processing abnormal power consumption data, the power consumption processing unit traces the source of high-loss line data problems based on the calculated power consumption, line loss historical data, archives, and meter bottom historical data, and performs diagnostic analysis in the steps of first checking archives, then power supply, and finally power sales; this involves the diagnosis of sudden changes in power consumption at metering points, and the principle of the diagnosis of sudden changes in power consumption at metering points is that normal power consumption data has certain characteristics and changes continuously with time such as seasons. There are often fixed time intervals on site, and there are large differences in the power consumption data before and after the metering point, that is, the power consumption has mutated. The screening of abnormal power consumption data and the identification of metering anomalies can be achieved through a certain algorithm. The algorithm can use a combination of the quartile method and the Lagerbus criterion to check sudden changes in power consumption at metering points.
[0011] Preferably, the second verification module is used to analyze and process the operating data of the distribution network equipment, and the equipment operating data threshold and alarm value are set in the second verification module. The second verification module compares the equipment operating data detected by the data acquisition module with the set value. When the detected data is within the threshold or does not exceed ±10%, it is judged that the data is normal and the equipment is operating normally. When the detected data exceeds ±10% of the threshold, it is judged as abnormal data, and the system makes an abnormal prompt. If the detected data reaches the alarm value, the alarm module will make an alarm processing.
[0012] Compared with the prior art, the present invention has the following beneficial effects: The present invention proposes a distribution network data management and verification system for a power grid. When verifying the data of the distribution network, a data verification module is provided, so that the user files, line losses in substations, power consumption and power grid equipment of the distribution network can be verified and analyzed. Not only can the effective monitoring of the distribution network be achieved, but also the power supply reliability of the distribution network based on the users can be realized, and the health level of the distribution network operation can be comprehensively evaluated. Based on the results of data management, data anomaly detection and cause analysis, a management basis is provided for the source system, so as to realize the safe and stable operation of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] Figure 1 Schematic diagram of the system structure of the present invention.
[0014] Figure 2 It is a structural schematic diagram of the data verification module of the present invention.
[0015] Figure 3 It is a schematic diagram of the structure of the first verification module of the present invention.
[0016] Figure 4 It is a schematic diagram of the structure of the line loss processing unit of the present invention. DETAILED DESCRIPTION
[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0018] See also Figures 1 to 4 The present invention provides a technical solution: a distribution network data management and verification system of a power grid, comprising a central processing module, a storage module, a data acquisition module, a data verification module, an alarm module and a post-processing module, wherein the central processing module is bidirectionally connected to the storage module, the data acquisition module and the data verification module, the output end of the data verification module is connected to the input end of the alarm module and the post-processing module, the storage module is used to store distribution network related data, the data acquisition module is used to acquire distribution network related data, the data verification module verifies and analyzes the distribution network related data acquired by the data acquisition module, the alarm module is used to issue an alarm notification when the data verification module makes an abnormal judgment on the distribution network related information, and the post-processing module is used to formulate a corresponding processing plan after the data verification module completes the verification of the distribution network related data.
[0019] The distribution network related data acquired by the data acquisition module include user profile information, line loss related data, substation power consumption data, current and voltage related data, and equipment related data.
[0020] The data checking module includes a first checking module and a second checking module.
[0021] The first verification module includes a file processing unit, a line loss processing unit, and an electric quantity processing unit; The archive processing unit is used to analyze and check the archive data of the substation users, mainly to analyze and check the abnormalities of the archives of stations, busbars, transmission lines, distribution lines, substations, high-voltage users and low-voltage users; for example, the analysis and inspection of the archive data of the distribution line includes: the starting station, starting switch, voltage level, status, and asset nature are empty checks, the abnormal analysis of the line-to-wire relationship and the line-to-user relationship (non-user assets, in operation, and the total number of public and private transformers is 0), the line metering point cannot find the corresponding switch or starting station, the line has multiple metering points, the line has no assessment metering point, the line gateway table is missing (non-user assets, the line is in operation), and the comprehensive rate of the gateway table is empty or 1 Abnormal analysis and inspection; Analysis and inspection of the substation archive data include: substation, distribution transformer status, capacity is not empty inspection, public transformer has no affiliated line, substation has no distribution transformer, pole transformer has no corresponding substation, distribution transformer can not find substation abnormal analysis, substation has no assessment metering point, no relevant general table, no station-user relationship, the number of users in the public transformer substation exceeds 2000 abnormal analysis and inspection, the assessment table multiplier is equal to 1, the comprehensive multiplier of the meter is empty, the station-user relationship is inconsistent with the marketing, the substation line and the substation line are inconsistent abnormal analysis, there are repeated station-transformer relationships, public transformer has no low-voltage access point, substation meter box has no access point meter box relationship, box-meter relationship is repeated, etc. abnormal analysis and inspection; The line loss processing unit is used to calculate the line loss of the substation line and analyze the calculation results of the line loss. For the line loss rate data generated after the line loss calculation, according to the line loss assessment indicators, line loss business knowledge and the set line loss rate available threshold, etc., the abnormal line loss rate data of the substation area is judged, and the loss rate is divided into four levels from low to high, namely low loss, high loss, excessive loss, and super large loss. In particular, the excessive loss level or above is directly judged as data abnormality, and then further located according to the diagnosis and analysis function; The power processing unit is used to analyze and process the user's power consumption. For example, if the power supply to the substation and the power sales to high-voltage users increase by more than 50% or more than 1 times compared with the previous month or the same month last year, decrease by more than 50%, and the power consumption in the previous month and the same month last year is greater than a certain threshold, it is judged as abnormal data; check the power consumption of the suspended lines or substations, there is power sales but no power supply, or there is power supply but no power sales; for example, for the substation, the situation where the power supply is greater than 2 times the full load power can be judged as abnormal data.
[0022] The line loss processing unit includes a theoretical calculation unit, an area function unit, a function training unit, a regression calculation unit and a line loss calculation unit; When calculating the line loss of the substation, the line loss processing unit first adopts the regional characteristic method to select a typical substation, and inputs the characteristic parameters, power supply, power sales and other parameters of the typical substation into the theoretical calculation unit to obtain the line loss rate of the typical substation. The theoretical calculation unit integrates multiple substation line loss rate calculation methods such as equivalent resistance method, power flow method, iteration method, etc.; then the typical substation data is input into the substation function unit to form a sample substation set, forming a sample substation set to provide samples for subsequent data mining training. Users can continuously update and add typical substations and sample substations according to needs; the sample substation set is input into the functional training unit, and the functional training unit classifies the sample substations to form classification principles and obtain sample substations of various categories. The functional training unit uses a variety of data mining techniques to classify the sample substations to form classification principles; the classified substations The sample substation is input into the regression calculation unit to obtain the multivariate linear regression calculation model of the line loss rate of each category of the substation. The regression calculation unit uses the sample substation data information and classification information to form the multivariate linear regression calculation model of the substation line loss rate, providing a calculation method for the subsequent substation line loss rate calculation; the classification principle and the multivariate linear regression calculation model of the line loss rate of each category of substation are transmitted to the line loss calculation unit, and the line loss calculation unit updates the classification principle and the data of the multivariate linear regression calculation model of the line loss rate of each category of substation, continuously optimizes and updates the line loss classifier, so that the line loss classifier continues to evolve and improves the processing capacity of the substation line loss classifier. The line loss calculation unit will collect each substation information, classify each substation according to the updated classification principle, attach the substation category electronic label, and use the updated multivariate linear regression calculation model to obtain the line loss rate of each substation.
[0023] When processing abnormal power consumption data, the power processing unit traces the source of high-loss line data problems based on the calculated power consumption, line loss historical data, archives, and meter bottom historical data, and performs diagnostic analysis in the steps of first checking archives, then power supply, and finally power sales; this involves the diagnosis of sudden changes in power consumption at metering points. The principle of the diagnosis of sudden changes in power consumption at metering points is that normal power consumption data has certain characteristics and changes continuously with seasons and other time changes. There are often fixed time intervals on site, and there are large differences in the power consumption data before and after the metering point, that is, the power consumption has mutated. A certain algorithm can be used to screen abnormal power consumption data and identify metering anomalies. The algorithm can use a combination of the quartile method and the Lagerbus criterion to check sudden changes in power consumption at metering points.
[0024] The second verification module is used to analyze and process the operating data of the distribution network equipment. The equipment operating data threshold and alarm value are set in the second verification module. The second verification module compares the equipment operating data detected by the data acquisition module with the set value. When the detected data is within the threshold or does not exceed ±10%, it is judged that the data is normal and the equipment is operating normally. When the detected data exceeds the threshold by ±10%, it is judged as abnormal data and the system will issue an abnormal prompt. If the detected data reaches the alarm value, the alarm module will issue an alarm.
[0025] When verifying the data of the distribution network, the data verification module is set up, which can be used to verify and analyze the user files, line losses in substations, power consumption and power grid equipment of the distribution network. It can not only realize the effective monitoring of the distribution network, but also realize the power supply reliability of the distribution network based on the user. It can comprehensively evaluate the health level of the distribution network operation, and provide a governance basis for the source system based on data governance, data anomaly detection and cause analysis results, so as to realize the safe and stable operation of the distribution network.
[0026] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A distribution network data management and verification system for a power grid, characterized by: The invention comprises a central processing module, a storage module, a data acquisition module, a data verification module, an alarm module and a post-processing module. The central processing module is bidirectionally connected with the storage module, the data acquisition module and the data verification module. The output end of the data verification module is connected with the input end of the alarm module and the post-processing module. The storage module is used to store distribution network related data. The data acquisition module is used to acquire distribution network related data. The data verification module verifies and analyzes the distribution network related data acquired by the data acquisition module. The alarm module is used to issue an alarm notification when the data verification module makes an abnormal judgment on the distribution network related information. The post-processing module is used to formulate a corresponding processing plan after the data verification module completes the verification of the distribution network related data.
2. The distribution network data management and verification system of a power grid according to claim 1, characterized in that: The distribution network related data acquired by the data acquisition module include user profile information, line loss related data, substation power consumption data, current and voltage related data, and equipment related data.
3. The distribution network data management and verification system of a power grid according to claim 1, characterized in that: The data verification module includes a first verification module and a second verification module.
4. The distribution network data management and verification system of a power grid according to claim 3 is characterized by: The first verification module includes a file processing unit, a line loss processing unit, and an electric quantity processing unit; The file processing unit is used to analyze and check the user file data of the substation, mainly to analyze and check the abnormality of the station, bus, transmission line, distribution line, substation, high-voltage user and low-voltage user files; for example, the analysis and inspection of the distribution line file data includes: the starting station, starting switch, voltage level, status, asset nature are empty, the line wireless transformer relationship and the line and user relationship (non-user assets, in operation, public and private transformers are 0) abnormal analysis, the line metering point cannot find the corresponding switch or starting station, the line has multiple metering points, the line has no assessment metering point, the line gateway table is missing (non-user assets, the line is in operation), the gateway table comprehensive ratio is empty or 1. Abnormal analysis and inspection; Analysis and inspection of the substation archive data include: the status of the substation and distribution transformer, the capacity is not empty, the public transformer has no affiliated lines, the substation has no distribution transformer, the pole-mounted transformer has no corresponding substation, the distribution transformer cannot find the substation abnormal analysis, the substation has no assessment metering point, no relevant total meter, no station-user relationship, the number of users in the public transformer substation in operation exceeds 2000 abnormal analysis and inspection, the assessment table multiplier is equal to 1, the comprehensive multiplier of the meter is empty, the station-user relationship is inconsistent with the marketing, the substation line and the substation line are inconsistent abnormal analysis, there are repeated station-transformer relationships, the public transformer has no low-voltage access point, the substation meter box has no access point meter box relationship, and the box-meter relationship is repeated. Abnormal analysis and inspection; The line loss processing unit is used to calculate the line loss of the substation line, and analyze and process the calculation results of the line loss. For the line loss rate data generated after the line loss calculation, according to the line loss assessment indicators, line loss business common sense and the set line loss rate available threshold, etc., the abnormal line loss rate data of the substation area is judged, and the loss rate is divided into four levels from low to high, namely low loss, high loss, excessive loss and super large loss. In particular, the excessive loss level or above is directly judged as data abnormality, and then further located according to the diagnosis and analysis function; The power processing unit is used to analyze and process the user's power consumption. For example, if the power supply of the substation and the power sales of high-voltage users increase by more than 50% or 1 times compared with the previous month or the same month last year, decrease by more than 50%, and the power consumption of the previous month and the same month last year is greater than a certain threshold, it is judged as abnormal data; check the power consumption of the suspended lines or substations, there is power sales but no power supply, or there is power supply but no power sales; for example, for the substation, the situation where the power supply is greater than 2 times the full load power can be judged as abnormal data.
5. The distribution network data management and verification system of a power grid according to claim 4, characterized in that: The line loss processing unit includes a theoretical calculation unit, an area function unit, a function training unit, a regression calculation unit and a line loss calculation unit; When calculating the line loss of the substation, the line loss processing unit first adopts the regional characteristic method to select a typical substation, and inputs the characteristic parameters, power supply, power sales and other parameters of the typical substation into the theoretical calculation unit to obtain the line loss rate of the typical substation. The theoretical calculation unit integrates multiple substation line loss rate calculation methods such as equivalent resistance method, power flow method, iteration method, etc.; then the typical substation data is input into the substation function unit to form a sample substation set, forming a sample substation set to provide samples for subsequent data mining training. Users can continuously update and add typical substations and sample substations according to needs; the sample substation set is input into the function training unit, and the function training unit classifies the sample substations to form classification principles and obtain sample substations of various categories. The function training unit uses multiple data mining technologies to classify the sample substations and form classification principles; The classified sample areas are input into the regression calculation unit to obtain the multivariate linear regression calculation model of the line loss rate of each category of the area. The regression calculation unit uses the sample area data information and classification information to form the multivariate linear regression calculation model of the area line loss rate, providing a calculation method for the subsequent area line loss rate calculation; The classification principle and the multivariate linear regression calculation model of line loss rate in each category of substation are transmitted to the line loss calculation unit, which updates the data of the classification principle and the multivariate linear regression calculation model of line loss rate in each category of substation, continuously optimizes and updates the line loss classifier, so that the line loss classifier continues to evolve and improves the processing capacity of the substation line loss classifier. The line loss calculation unit collects the information of each substation, classifies each substation according to the updated classification principle, attaches an electronic label of the substation category, and uses the updated multivariate linear regression calculation model to obtain the line loss rate of each substation.
6. The distribution network data management and verification system of a power grid according to claim 4, characterized in that: When processing the abnormal power consumption data, the power consumption processing unit traces the source of the high-loss line data problem based on the calculated power consumption, line loss historical data, archives, and meter bottom historical data, and performs diagnosis and analysis in the steps of first checking the archives, then the power supply, and finally the power sales volume. This involves the diagnosis of sudden changes in power consumption at the metering point. The principle of the diagnosis of sudden changes in power consumption at the metering point is that normal power consumption data has certain characteristics and changes continuously with time changes such as seasons. There are often fixed time intervals on site, and the power consumption data of the metering point has a large difference before and after, that is, the power consumption has mutated. The screening of abnormal power consumption data and the identification of metering anomalies can be achieved through a certain algorithm. The algorithm can use an algorithm combining the quartile method and the Lagerbus criterion to check sudden changes in power consumption at the metering point.
7. The distribution network data management and verification system of a power grid according to claim 3, characterized in that: The second verification module is used to analyze and process the operating data of the distribution network equipment. The equipment operating data threshold and alarm value are set in the second verification module. The second verification module compares the equipment operating data detected by the data acquisition module with the set value. When the detected data is within the threshold or does not exceed ±10%, it is judged that the data is normal and the equipment is operating normally. When the detected data exceeds ±10% of the threshold, it is judged as abnormal data and the system will issue an abnormal prompt. If the detected data reaches the alarm value, the alarm module will issue an alarm.