Vulnerability assessment for cascading failures in electric power systems

Ross Baldick, Badrul Chowdhury, Ian Dobson, Zhaoyang Dong, Bei Gou, David Hawkins, Zhenyu Huang, Manho Joung, Janghoon Kim, Daniel Kirschen, Stephen Lee, Fangxing Li, Juan Li, Zuyi Li, Chen Ching Liu, Xiaochuan Luo, Lamine Mili, Stephen Miller, Marvin Nakayama, Milorad PapicRobin Podmore, John Rossmaier, Kevin Schneider, Hongbin Sun, Kai Sun, David Wang, Zhigang Wu, Liangzhong Yao, Pei Zhang, Wenjie Zhang, Xiaoping Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

68 Scopus citations

Abstract

Cascading failures present severe threats to power grid security, and thus vulnerability assessment of power grids is of significant importance. Focusing on analytic methods, this paper reviews the state of the art of vulnerability assessment methods in the context of cascading failures. These methods are based on steady-state power grid modeling or high-level probabilistic modeling. The impact of emerging technologies including phasor technology, high-performance computing techniques, and visualization techniques on the vulnerability assessment of cascading failures is then addressed, and future research directions are presented.

Original languageEnglish (US)
Title of host publication2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
DOIs
StatePublished - 2009
Event2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009 - Seattle, WA, United States
Duration: Mar 15 2009Mar 18 2009

Publication series

Name2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009

Other

Other2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
Country/TerritoryUnited States
CitySeattle, WA
Period3/15/093/18/09

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Keywords

  • Cascading failure
  • Electric power systems
  • Phasor technology
  • Probability analysis
  • Vulnerability assessment

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