Critical Link Identification Method for Cascading Failure in Power Systems Based on Web Link Analysis

被引：0

作者：

Liu L. ^{[1
]}

Li L. ^{[1
]}

Lu T. ^{[2
]}

Wu H. ^{[1
]}

机构：

[1] College of Electrical Engineering, Zhejiang University, Hangzhou

[2] Economic Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2021年 / 45卷 / 10期

关键词：

Blackout; Cascading failure; Critical branch; Outage propagation relationship; Web link analysis algorithm;

D O I：

10.7500/AEPS20200611004

中图分类号：

学科分类号：

摘要：

In the power system, the identification of critical links is of great significance for the propagation mechanism analysis of cascading failures, the formulation of preventive measures and the improvement of system reliability. In this paper, the stochastic approach for link-structure analysis (SALSA) used in the web link analysis is introduced into critical link analysis for cascading failures in the power system, and the concepts of "propagative branch" and "vulnerable branch" are proposed. Based on massive cascading failure simulation data, the roles of branches in the failure propagation are identified, as well as the high-risk failure propagation relationships which will cause serious blackout consequences. The verification on the IEEE 39-bus system and an actual provincial power grid in China shows that the proposed method can effectively identify the critical links of the system, and the mitigation measures aiming at critical links can effectively reduce the risk of cascading failure blackouts. © 2021 Automation of Electric Power Systems Press.

引用

页码：25 / 33

页数：8

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