CN-122020213-A - Identification analysis method, system, equipment and medium for low-voltage topology change of power distribution network

CN122020213ACN 122020213 ACN122020213 ACN 122020213ACN-122020213-A

Abstract

The invention discloses a method, a system, equipment and a medium for identifying and analyzing low-voltage topology change of a power distribution network, wherein the method comprises the steps of collecting multi-source monitoring data of a low-voltage transformer area of the power distribution network, and analyzing and processing the multi-source monitoring data to obtain monitoring loss data; the method comprises the steps of collecting historical multi-source data, calculating to obtain a client clustering set and an initial reference period set, verifying the initial reference period set to obtain a historical reference period set, constructing a complete real-time topological structure and identifying topological change data. According to the invention, intelligent adaptation and screening of a historical reference period are realized through a clustering and verification mechanism, the reference misalignment problem caused by load fluctuation and increase and decrease of a user side is solved, multisource monitoring data are fused, a complete real-time topological structure is constructed in a cooperative manner according to comparison, conflict processing and reasoning completion of a stable topological sub-structure and a real-time topological sub-structure, the accuracy, the integrity and the adaptability of topology change identification are improved, and the limitation of large data one-sided and analysis deviation of a traditional method is solved.

Inventors

LI XU
TIAN FEI
XIAO XINFU
HU ZUGUO
ZHANG LU
XIAO LI
ZHU LEI
ZHOU JINGUO
XIA WEN
SHEN YOUQIANG
LI SHENGFU
XU XIAOYUN
ZOU YIN
LI KANG
TIAN DI
GAN YI
ZHAO YUHAN
WANG ZIHUA
CHEN ZELIN
LUO YAN
LI WEIXING
Jia Bensheng
JIAN BEI
ZHANG XINYANG
Yuan Xingqian
GE JUNSHAN
TANG XINGXIN
PENG YILIN
LUO XUAN
LUO XUELIAN
QIAN ZHENGCHAO
YANG YI
Nie Yuanjie
ZHOU XU
LI MINGHU
ZHOU ZHONGBO

Assignees

贵州电网有限责任公司

Dates

Publication Date: 20260512
Application Date: 20251230

Claims (10)

1. The identification and analysis method for the low-voltage topology change of the power distribution network is characterized by comprising the following steps of: Collecting multi-source monitoring data of a low-voltage transformer area of the power distribution network, and analyzing and processing according to the multi-source monitoring data to obtain monitoring loss data; collecting historical multi-source data of a low-voltage transformer area of the power distribution network, and calculating to obtain a client clustering set and an initial reference period set according to the monitoring loss data and the historical multi-source data; Verifying the initial reference period set according to the client clustering set, the multi-source monitoring data and the historical multi-source data to obtain a historical reference period set; and constructing a complete real-time topological structure and identifying topological change data according to the historical reference period set and the historical multi-source data.
2. The method for identifying and analyzing low-voltage topology changes of a power distribution network of claim 1, wherein the step of collecting multi-source monitoring data of a low-voltage area of the power distribution network comprises: Acquiring a monitoring date, a real-time designated time period and node information of branch nodes of a low-voltage transformer area of the power distribution network; Collecting real-time monitoring data of a current monitoring point in the real-time appointed time period, wherein the real-time monitoring data comprise low-voltage side vectors of a distribution transformer, user side ammeter data and station area line data; collecting historical monitoring data of all historical monitoring points earlier than the current monitoring point in the real-time appointed time period; And integrating the real-time monitoring data and the historical monitoring data to obtain the multi-source monitoring data of the real-time appointed time period.
3. The method for identifying and analyzing the low-voltage topology change of the power distribution network according to claim 2, wherein the step of obtaining monitoring loss data according to the multi-source monitoring data analysis and processing includes: Performing time sequence analysis on the ammeter data of the user end in the multi-source monitoring data, drawing a monitoring curve graph of each monitoring characteristic of each user end, and obtaining a monitoring curve vector corresponding to each monitoring characteristic according to the monitoring curve graph; Carrying out time sequence analysis on the station area line data, and drawing a branch loss curve chart of each branch node in the real-time appointed time period; and generating monitoring loss data of a real-time designated time period according to the monitoring curve graph, the monitoring curve vector and the branch loss graph.
4. A method for identifying and analyzing a low-voltage topology change of a power distribution network as recited in claim 3, wherein the step of calculating a set of client clusters and an initial set of reference periods comprises: Collecting historical multi-source data recorded when a low-voltage area of a power distribution network normally operates in a plurality of historical specified time periods, wherein the historical multi-source data comprises a historical low-voltage side vector, a historical topological structure and a plurality of historical client groups divided according to the historical topological structure; matching the monitoring curve vector of each user terminal in the monitoring loss data with each historical user terminal group, and dividing the monitoring curve vector into a plurality of user terminal clustering sets through a clustering algorithm; And calculating the similarity between each user end cluster set and each historical user end group, and screening according to the similarity to obtain an initial reference period set.
5. The method for identifying and analyzing the low-voltage topology changes of the power distribution network of claim 4, wherein the step of verifying the initial set of reference periods to obtain the historical set of reference periods comprises: Determining a connection branch set of each user end cluster set according to each user end cluster set and the node information; extracting a history loss curve graph of a corresponding branch node from the history multi-source data of each history specified time period in the initial reference period set according to the connection branch set; according to the current monitoring point of the real-time appointed time period, the historical loss curve graph is truncated, and truncated loss data are obtained; and according to the low-voltage side vector of the distribution transformer, the branch loss curve graph and the historical low-voltage side vector and the cut-off loss data of each historical designated time period in the initial reference period set, consistency comparison of power supply and loss states is carried out, and the historical reference period set is obtained through screening.
6. The method for identifying and analyzing low-voltage topology changes of a power distribution network of claim 5, wherein the step of constructing a complete real-time topology and identifying topology change data based on said historical reference period set and historical multisource data comprises: extracting a common topological connection relation according to a historical topological structure of each historical appointed time period in the historical reference period set to form a stable topological sub-structure; Constructing a complete real-time topological structure of the real-time appointed time period according to the historical topological structure in the historical reference period set and the multi-source monitoring data of the real-time appointed time period; And identifying the topology change data of the real-time designated time period by comparing the complete real-time topology structure with the stable topology substructure and combining the historical reference period set.
7. The method for identifying and analyzing low-voltage topology changes of a power distribution network of claim 6, wherein the step of constructing a complete real-time topology comprises: Generating a real-time topology substructure according to branch nodes connected with all the clients in the client ammeter data, and comparing the stable topology substructure with the real-time topology substructure, and marking the branch nodes with different connection relations as conflict nodes; based on the stable topological substructure, combining the real-time topological substructure and the conflict node to construct an initial real-time topological structure; And supplementing and correcting the connection relation of the missing or fuzzy branch nodes according to the initial real-time topological structure, the multi-source monitoring data and the client clustering set to obtain a complete real-time topological structure.
8. A system for identifying and analyzing low-voltage topology changes of a power distribution network, applying the method as claimed in any one of claims 1-7, comprising: the data acquisition module is used for acquiring multi-source monitoring data and historical multi-source data of a low-voltage transformer area of the power distribution network; The loss analysis module is used for analyzing and processing according to the multi-source monitoring data to obtain monitoring loss data; The cluster calculation module is used for calculating to obtain a client cluster set and an initial reference period set according to the monitoring loss data and the historical multi-source data; the reference verification module is used for verifying the initial reference period set according to the client clustering set, the multi-source monitoring data and the historical multi-source data to obtain a historical reference period set; And the topology analysis module is used for constructing a complete real-time topology structure and identifying topology change data according to the historical reference period set and the historical multi-source data.
9. An electronic device, comprising: A memory and a processor; the memory is configured to store computer executable instructions, and the processor is configured to execute the computer executable instructions, which when executed by the processor, implement the steps of the method for identifying and analyzing a low voltage topology change of a power distribution network according to any one of claims 1 to 7.
10. A computer readable storage medium storing computer executable instructions which when executed by a processor perform the steps of the method for identifying and analysing a change in low voltage topology of a power distribution network according to any one of claims 1 to 7.

Description

Identification analysis method, system, equipment and medium for low-voltage topology change of power distribution network Technical Field The invention relates to the technical field of power identification, in particular to a method, a system, equipment and a medium for identifying and analyzing low-voltage topology change of a power distribution network. Background The topological structure of the low-voltage transformer area of the power distribution network reflects the actual physical connection relation among the transformer, the branch lines and the user side, and the accuracy of the topological structure is critical to advanced applications such as line loss calculation, fault positioning, load prediction, power grid planning and the like. With the development of household meter intellectualization and data acquisition technology, topology change is automatically identified according to monitoring data, so that manual inspection with low efficiency, high cost and safety risk is gradually replaced, and the intelligent power distribution network operation management technology is realized. The existing low-voltage topology change identification method has the defects that most methods depend on the topology of a single history period as a comparison standard, normal operation differences caused by factors such as load fluctuation, increase and decrease of a user terminal and the like under different dates, seasons or operation scenes are not fully considered, so that the adaptability of the standard period and the current operation state is poor, misjudgment is easy to cause, the existing low-voltage topology change identification method often uses user terminal power consumption data or line loss data in isolation for judgment, data sources are fragmented, cooperative verification and analysis among multidimensional information are lacked, complex topology changes are difficult to capture, and the integrity and accuracy of an identification result are difficult to guarantee especially when the changes involve user terminal attribution and line connection at the same time. Disclosure of Invention The present invention has been made in view of the above-described problems occurring in the prior art. Therefore, the invention provides a method, a system, equipment and a medium for identifying and analyzing low-voltage topological changes of a power distribution network, which solve the problems that the existing method depends on a single history period as a fixed reference, can not adapt to differences such as load fluctuation and the like, is easy to cause misjudgment, and is difficult to completely and accurately identify complex topological changes related to multiple directions due to the fact that data are fragmented and lack of cooperation of multiple isolated analysis clients or line data. In order to solve the technical problems, the invention provides the following technical scheme: In a first aspect, the present invention provides a method for identifying and analyzing a low-voltage topology change of a power distribution network, including: Collecting multi-source monitoring data of a low-voltage transformer area of the power distribution network, and analyzing and processing according to the multi-source monitoring data to obtain monitoring loss data; collecting historical multi-source data of a low-voltage transformer area of the power distribution network, and calculating to obtain a client clustering set and an initial reference period set according to the monitoring loss data and the historical multi-source data; Verifying the initial reference period set according to the client clustering set, the multi-source monitoring data and the historical multi-source data to obtain a historical reference period set; and constructing a complete real-time topological structure and identifying topological change data according to the historical reference period set and the historical multi-source data. As a preferable scheme of the identification and analysis method for the low-voltage topological change of the power distribution network, the step of collecting multi-source monitoring data of the low-voltage transformer area of the power distribution network comprises the following steps: Acquiring a monitoring date, a real-time designated time period and node information of branch nodes of a low-voltage transformer area of the power distribution network; Collecting real-time monitoring data of a current monitoring point in the real-time appointed time period, wherein the real-time monitoring data comprise low-voltage side vectors of a distribution transformer, user side ammeter data and station area line data; collecting historical monitoring data of all historical monitoring points earlier than the current monitoring point in the real-time appointed time period; And integrating the real-time monitoring data and the historical monitoring data to obtain the multi-source monitoring data of the real-