Risk assessment of cascading outages: methodologies and challenges

M. Vaiman, Keith Bell, Y. Chen, B. Chowdhury, I. Dobson, P. Hines, M. Papic, S. Miller, P. Zhang

Research output: Contribution to journalArticlepeer-review

349 Citations (Scopus)


Cascading outages can cause large blackouts, and a variety of methods are emerging to study this challenging topic. The Task Force on Understanding, Prediction, Mitigation, and Restoration of Cascading Failures, under the IEEE PES Computer Analytical Methods Subcommittee (CAMS), seeks to consolidate and review the progress of the field towards methods and tools of assessing the risk of cascading failure. This paper discusses the challenges of cascading failure and summarizes a variety of state-of-the-art analysis and simulation methods, including analyzing observed data, and simulations relying on various probabilistic, deterministic, approximate, and heuristic approaches. Limitations to the interpretation and application of analytical results are highlighted, and directions and challenges for future developments are discussed.
Original languageEnglish
Pages (from-to)631-641
Number of pages11
JournalIEEE Transactions on Power Systems
Issue number2
Publication statusPublished - May 2012


  • risk assessment methodologies
  • cascading outages
  • risk management
  • uncertainty
  • computational modeling
  • data models
  • generators
  • power system faults
  • power system protection


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