CN-122000891-A - Topology structure rapid identification method for real-time operation of power distribution network

CN122000891ACN 122000891 ACN122000891 ACN 122000891ACN-122000891-A

Abstract

The invention discloses a topology structure rapid identification method for real-time operation of a power distribution network, which comprises the steps of obtaining multi-source measurement data of a plurality of data sources in the power distribution network, preprocessing the multi-source measurement data to obtain effective measurement data, generating a candidate topology set based on-off states of power distribution network switching equipment, carrying out state estimation on each candidate topology in the candidate topology set to obtain state estimation values, calculating topology errors between the state estimation values of each candidate topology and corresponding measurement values in the effective measurement data, and screening the effective topology from the candidate topology set based on the topology errors to serve as the operation topology of the power distribution network at the current moment. According to the scheme provided by the invention, the accuracy and the efficiency of the topology identification of the power distribution network are effectively improved.

Inventors

CAI JUNYU
YAN YONG
CHEN XIN
CHEN WENJIN
WANG BO
LUO HUAFENG
HAN JIAJIA
YAO YING
LIU RONGHAO
WANG LIUWANG

Assignees

国网浙江省电力有限公司电力科学研究院

Dates

Publication Date: 20260508
Application Date: 20260410

Claims (10)

1. A topology structure rapid identification method for real-time operation of a power distribution network is characterized by comprising the following steps: acquiring multi-source measurement data of a plurality of data sources in a power distribution network, and preprocessing the multi-source measurement data to obtain effective measurement data; Generating a candidate topology set based on the on-off state of the power distribution network switching equipment, wherein the candidate topology set comprises a plurality of candidate topologies; The state estimation comprises a calculation process based on a weighted least square method, wherein the weight coefficient of the calculation process is determined according to the variance of corresponding measurement data; Calculating topology errors between state estimation values of each candidate topology and corresponding measurement values in the effective measurement data; And screening out an effective topology from the candidate topology set based on the topology error, and taking the effective topology as the operation topology of the power distribution network at the current moment.
2. The method for quickly identifying a topology structure for real-time operation of a power distribution network according to claim 1, wherein preprocessing the multi-source measurement data comprises: Removing abnormal data by adopting a 3 sigma criterion; normalizing the data of different dimensions, and And supplementing the missing data by adopting a linear interpolation method.
3. The method for quickly identifying a topology structure for real-time operation of a power distribution network according to claim 1, wherein generating a candidate topology set comprises: dividing a complex feeder scene into a plurality of subareas according to areas, and generating local candidate topologies of the subareas; and combining the local candidate topologies through on-off combination of inter-region tie switches to form a global candidate topology set.
4. The method for quickly identifying a topology structure for real-time operation of a power distribution network according to claim 1, wherein the state estimation further comprises: Building a state estimation model, the state estimation model comprising the following elements: The state variables comprise node voltage amplitude and phase angle, and constraint conditions comprise a tide equation, branch power constraint and equipment capacity constraint.
5. The method for quickly identifying the topological structure facing the real-time operation of the power distribution network according to claim 1, wherein the weight coefficient is calculated as follows: in the formula, For the weight coefficient of the i-th measurement data, Is the variance of the ith metrology data.
6. The method for quickly identifying a topological structure facing to real-time operation of a power distribution network according to claim 1, wherein the topological error is calculated as follows: in the formula, As a result of the topology error, For the weight of the i-th metrology data, For the i-th actual measurement value, Is the i-th measurement value calculated based on the state estimation result.
7. The method for quickly identifying a topology structure for real-time operation of a power distribution network according to claim 1, further comprising: carrying out load flow calculation verification on the screened effective topology; in response to the verification passing, confirming that the effective topology is the operation topology at the current moment; And responding to the fact that the verification is not passed, selecting the topology with the next smallest topology error from the rest candidate topologies as a new effective topology, and carrying out load flow calculation verification until the verification is passed.
8. The method for quickly identifying a topology structure for real-time operation of a power distribution network according to any one of claims 1 to 7, further comprising: Continuously collecting the multi-source measurement data, and repeatedly executing all the steps of the topology structure rapid identification method for the real-time operation of the power distribution network according to any one of claims 1-7 to realize dynamic update of the operation topology of the power distribution network.
9. The method for quickly identifying a topology structure for real-time operation of a power distribution network according to claim 1, wherein the determining of the weight coefficient further comprises: and (3) distributing a weight coefficient with the value range of 0.8-1.0 to the SCADA system data, and distributing a weight coefficient with the value range of 0.6-0.9 to the AMI system data.
10. The method for quickly identifying a topology structure for real-time operation of a power distribution network according to claim 1, wherein screening out an effective topology from the candidate topology set comprises: and determining the candidate topology with the smallest topology error as the effective topology.

Description

Topology structure rapid identification method for real-time operation of power distribution network Technical Field The invention relates to the technical field of power distribution network topology structure identification, in particular to a method for rapidly identifying a topology structure for real-time operation of a power distribution network. Background The power distribution network is used as a key link for connecting a power transmission network with a user of a power system, and the topological structure of the power distribution network directly influences the accuracy of core regulation and control services such as fault positioning, load transfer, tide calculation and the like. Along with the large-scale access of the distributed power supply and the rapid growth of novel loads, the topology structure of the power distribution network is more and more complex, the characteristics of frequent switching and state diversification are presented, and the accurate and real-time mastering of the actual operation topology of the power distribution network is the basis for realizing advanced applications such as tide calculation, fault positioning, load transfer and the like. Traditional topology identification methods relying on manual experience or off-line modeling cannot meet the real-time regulation and control requirements. Existing distribution networks face the following challenges: 1. Compared with a transmission network, the distribution network has the defects of lack of measuring points and partial dependence on high-precision equipment such as a synchronous Phasor Measurement Unit (PMU), but the distribution network has low PMU deployment density and is difficult to cover complex feeder lines comprehensively. The granularity of measurement data acquired by SCADA/AMI systems and the like is larger or the real-time performance is poorer, so that the traditional state estimation method is difficult to accurately identify topology in a power distribution network without redundant measurement. 2. The topology dynamic change is that switching of a distributed power supply, fluctuation of load and fault isolation and reconstruction operations are carried out, so that the dynamic change of a power distribution network topology structure is frequent, and a traditional topology identification method relying on static switch information is easy to fail or delay. 3. The algorithm efficiency is that aiming at complex feeder lines, the number of possible switch combinations is huge, so that topology reconstruction and identification face the problem of 'combination explosion', and the timeliness requirement of a power distribution network on minute-level quick response is difficult to meet by a traditional exhaustion method or an optimization algorithm. When the traditional weighted least square method (WLS) is used for state estimation, the measurement weight is fixed, the reliability difference of SCADA/AMI multi-source data cannot be adapted, the topological characteristic of a complex feeder line is not optimized, and the recognition precision and the speed are difficult to be compatible. Therefore, a method for solving the problems of poor accuracy and low efficiency of the existing power distribution network topology identification is needed. Disclosure of Invention In order to solve the technical problems of poor accuracy and low efficiency of the conventional power distribution network topology identification, the invention provides a method for rapidly identifying a topology structure for real-time operation of a power distribution network, so that the accuracy and the efficiency of the power distribution network topology identification are effectively improved. The technical scheme includes that the method comprises the steps of obtaining multi-source measurement data of a plurality of data sources in a power distribution network, preprocessing the multi-source measurement data to obtain effective measurement data, generating a candidate topology set based on-off states of power distribution network switching equipment, wherein the candidate topology set comprises a plurality of candidate topologies, carrying out state estimation on each candidate topology in the candidate topology set to obtain a state estimation value, wherein the state estimation comprises a calculation process based on a weighted least square method, weight coefficients of the state estimation value are determined according to variances of corresponding measurement data, calculating topology errors between the state estimation values of each candidate topology and corresponding measurement values in the effective measurement data, and screening the effective topology from the candidate topology set based on the topology errors to serve as the operation topology of the power distribution network at the current moment. Preferably, preprocessing the multi-source measurement data comprises removing abnormal data by adopting