Unweighted Betweenness Centrality for Critical Fault Detection for Cascading Outage Assessment

Pauli Fríðheim Petersen, Hjörtur Jóhannsson, Arne Hejde Nielsen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


This paper analyses the possible use of unweighted betweenness centrality instead of weighted betweenness centrality, for critical fault detection for assessment of cascading failures. As unweighted betweenness centrality is significantly faster to compute, the possible use of this will significantly improve the computation speed. The method is tested on four IEEE test systems, and the study finds that the unweighted analysis is not a good substitute if the method is only used naively, but it is possible to make graph modifications, and improve the unweighted analysis.
Original languageEnglish
Title of host publicationProceedings of 2016 IEEE International Energy Conference
Number of pages6
Publication date2016
Publication statusPublished - 2016
EventIEEE International Energy Conference 2016 - KU Leuven , Leuven , Belgium
Duration: 4 Apr 20168 Apr 2016


ConferenceIEEE International Energy Conference 2016
LocationKU Leuven


  • Betweenness Centrality
  • Cascading Outages
  • Power System
  • Real-Time Assessment


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