基于网页链接分析的电力系统连锁故障关键环节辨识方法  

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

作　　者：柳璐 李林芝[1] 卢天琪 吴浩[1] LIU Lu;LI Linzhi;LU Tianqi;WU Hao(College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China;Economic Research Institute of State Grid Liaoning Electric Power Co.,Ltd.,Shenyang 110015,China)

机构地区：[1]浙江大学电气工程学院,浙江省杭州市310027 [2]国网辽宁省电力有限公司经济技术研究院,辽宁省沈阳市110015

出　　处：《电力系统自动化》2021年第10期25-33,共9页Automation of Electric Power Systems

基　　金：国家电网公司科技项目(SGTYHT/17-JS-199 XT71-18-019)。

摘　　要：辨识电力系统关键环节,对于分析连锁故障传播规律、制定预防决策措施和提高电网可靠性具有重要意义。文中将网页链接分析的SALSA算法引入电力系统连锁故障的关键环节分析,定义了传播线路和脆弱线路的概念,并基于大量连锁故障的仿真数据,辨识线路在故障传播中的作用,以及会造成严重大停电后果的高风险故障传播关系。IEEE 39节点系统和某省实际电网的算例验证了所提方法可有效辨识系统关键环节,且针对关键环节的缓解措施能有效降低连锁故障大停电风险。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.

关 键 词：连锁故障 网页链接分析算法 关键线路 故障传播关系 大停电 

分 类 号：TM711[电气工程—电力系统及自动化]