ISSN 1000-1026
CN 32-1180/TP
  • ISSN 1000-1026
  • CN 32-1180/TP

Citation: LIU Yuhang,HUANG Shaowei,MEI Shengwei,ZHANG Xuemin.Analysis on Pattern of Power System Cascading Failure Based on Sequential Pattern Mining[J].Automation of Electric Power Systems,2019,43(6):34-40. DOI: 10.7500/AEPS20180528009 copy

Analysis on Pattern of Power System Cascading Failure Based on Sequential Pattern Mining

  • Received Date: May 28, 2018
    Accepted Date: September 21, 2018
    Available Online: January 04, 2019

  • Abstract:

        Studying the propagation mechanism of cascading failures is of great significance for identifying the vulnerable lines in power grid and formulating prevention and blocking strategies for cascading failures. Based on analyzing the development progress of cascading failures, the concept of cascading failure pattern is defined. A cascading failure pattern mining algorithm(CFPMA)based on sequential pattern mining technology is proposed to analyze massive simulation data and identify critical cascading failure pattern of power system. Finally, taking the IEEE 39-bus system and a real provincial power system for example, CFPMA is used to mine the main cascading failure patterns, and the cascading failure propagation law is analyzed by combining the power grid topology and power flow. The test results show that the proposed method has a good effect on identifying the main cascading failure patterns and the vulnerable lines.


  • Keywords:

    cascading failure; critical pattern; sequential pattern mining; PrefixSpan algorithm


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