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Risk Assessment of Cascading Outages in Power Systems Using Fuzzy Neural Network

  • Wei-Hua Chen
  • Quan-Yuan Jiang
  • Zhi-Yong Wang
  • Yi-Jia Cao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)

Abstract

This paper provides a strategy at the system level to assess and mitigate power system cascading outages considering the probabilities of hidden failure in protection system, which affect the risk of cascading outages. Some risk indices are used to assess the risk of cascading outages. The fuzzy neural network (FNN) is used to obtain the risk indices and to propose a solution that can decrease the system cascading outage risk under limited budget. The IEEE 118-bus system is used to illustrate the methodology.

Keywords

Risk Assessment Power System Risk Index Fuzzy Neural Network Negative Small 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Wei-Hua Chen
    • 1
  • Quan-Yuan Jiang
    • 1
  • Zhi-Yong Wang
    • 1
  • Yi-Jia Cao
    • 1
  1. 1.College of Electrical EngineeringZhejiang UniversityHangzhouChina

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