中国电机工程学报2025，Vol.45Issue(12)：4620-4632,中插7,14.DOI:10.13334/j.0258-8013.pcsee.232667
基于网络故障链接矩阵的电网关键节点辨识及分区方法
Key Node Identification and Area Division Method of Power Grid Based on Network Fault Link Matrix
摘要
Abstract
In order to solve the problem of key node identification and fault influence area division in distribution network with tie switches,a key node identification method and a network partition method based on network fault link matrix are proposed.First,starting from the voltage impact and efficiency impact on other nodes caused by node failure,the network fault link matrix is constructed.Then,the hidden fault nodes are used to characterize the uncertain factors in the actual power grid operation,and the derived network and its correlation matrix are formed.The conventional PageRank algorithm is improved by the derived network correlation matrix and the self-reboot vector with electrical characteristics to realize the identification of key nodes in the network.In addition,through the combination of network fault link matrix and modularity function,the division of node fault influence area is realized.Finally,the effectiveness and accuracy of the proposed key node identification method and region division method are verified in the improved 122-node dual power distribution network system,and the scalability and superiority of the proposed key node identification method are verified in the IEEE39 transmission network system.关键词
关键节点辨识/PageRank算法/区域划分/衍生网络Key words
key node identification/PageRank algorithm/division of regions/derivative network分类
信息技术与安全科学引用本文复制引用
刘海权,周苏洋,顾伟,朱红,陈清泉,张小平..基于网络故障链接矩阵的电网关键节点辨识及分区方法[J].中国电机工程学报,2025,45(12):4620-4632,中插7,14.基金项目
国家自然科学基金项目(52177076) （52177076）
国家重点研发计划项目(2022YFB2404205). Project Supported by National Natural Science Foundation of China(52177076) （2022YFB2404205）
National Key R&D Program of China(2022YFB2404205). （2022YFB2404205）
