全球能源互联网（英文）2021，Vol.4Issue(6)：587-595,9.DOI:10.14171/j.2096-5117.gei.2021.06.006
基于电气PageRank的电网级联故障关键节点辨识
Identification of critical nodes for cascade faults of grids based on electrical PageRank
摘要
Abstract
In this paper, the electrical PageRank method is proposed to identify the critical nodes in a power grid considering cascading faults as well as directional weighting. This method can rapidly and accurately focus on the critical nodes in the power system. First, the proposed method simulates the scenario in a grid after a node is attacked by cascading faults. The load loss of the grid is calculated. Second, the electrical PageRank algorithm is proposed. The nodal importance of a grid is determined by considering cascading faults as well as directional weights. The electrical PageRank values of the system nodes are obtained based on the proposed electrical PageRank algorithm and ranked to identify the critical nodes in a grid. Finally, the effectiveness of the proposed method is verified using the IEEE39 node system. The proposed method is highly effective in preventing the occurrence of cascading faults in power systems.关键词
安全稳定/级联故障/电气PageRank算法/关键节点Key words
Security and stability/Cascading failures/Electrical PageRank algorithm/Critical nodes引用本文复制引用
苏庆宇,陈聪,孙正龙,李健..基于电气PageRank的电网级联故障关键节点辨识[J].全球能源互联网（英文）,2021,4(6):587-595,9.基金项目
This study was supported by the National Natural Science Foundation of China(61873057). （61873057）
