N-k Induced Cascading Contingency Screening

Youwei Jia, Ke Meng, Zhao Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

27 Citations (Scopus)

Abstract

This letter proposes a novel method for N-k induced cascading contingency screening based on random vector functional-link (RVFL) neural network and quantum inspired multi-objective evolutionary algorithm (QMEA). This method can conduct reliable and simultaneous screening for various N-k contingencies. The proposed method has been proved to be highly effective through a preliminary case study using the New England 39-bus system.
Original languageEnglish
Article number6923476
Pages (from-to)2824-2825
Number of pages2
JournalIEEE Transactions on Power Systems
Volume30
Issue number5
DOIs
Publication statusPublished - 1 Sep 2015

Keywords

  • Cascading failures
  • N-k contingency screening
  • quantum inspired multi-objective evolutionary algorithm
  • random vector functional-link neural network

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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