现代电力2026，Vol.43Issue(2)：287-297,11.DOI:10.19725/j.cnki.1007-2322.2024.0032
基于网格化支持向量机的主动配电网拓扑辨识方法
A Topology Identification Approach for Active Distribution Networks Based on Grid Support Vector Machine
摘要
Abstract
Owing to the large-scale integration of flexible load resources,the distribution network has become increasingly complex and active.The frequent variation in the topology of distribution networks poses great challenges to the operation,analysis and control of distribution networks.To address the limitation of existing global topology identification methods which have not adequately considered regional differences,a partition topology identification method is proposed based on grid SVM for active distribution networks.Firstly,an active distribution network global topology identification model is established based on SVM,and the real-time measurement data of distribution network are preliminarily identified.Subsequently,the electrical distance between nodes is calculated to mesh the distribution network topology obtained by the preliminary identification.A topology identification model based on grid SVM is then established to identify the partition topology of the distribution network,and detect and correct the initial topology identification errors.Finally,to further enhance the accuracy of topology identification,the cyclic iterative method is utilized to repeatedly performing meshing and partition topology identification validation,so as to obtain the best topology identification result.The superiority of the proposed method is verified through an instance of an IEEE 33-bus distribution network.关键词
拓扑辨识/网格化/支持向量机/主动配电网Key words
topology identification/meshing/support vector machine(SVM)/active distribution network分类
信息技术与安全科学引用本文复制引用
周前,安海云,曹永吉,纪静雯,俞晓荣,岑炳成,陈哲..基于网格化支持向量机的主动配电网拓扑辨识方法[J].现代电力,2026,43(2):287-297,11.基金项目
国家自然科学基金资助项目(52177096) （52177096）
国网江苏省电力有限公司科技项目(5400-202318203A-1-1-ZN).Project Supported by National Natural Science Foundation of China(52177096) （5400-202318203A-1-1-ZN）
Science and Technology Project of Jiangsu Electric Power Co.,Ltd.Research Institute(5400-202318203A-1-1-ZN). （5400-202318203A-1-1-ZN）
