Topological models and critical slowing down: Two approaches to power system blackout risk analysis

Paul Hines, Eduardo Cotilla-Sanchez, Seth Blumsack

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

31 Scopus citations

Abstract

This paper describes results from the analysis of two approaches to blackout risk analysis in electric power systems. In the first analysis, we compare two topological (graph-theoretic) methods for finding vulnerable locations in a power grid, to a simple model of cascading outage. This comparison indicates that topological models can lead to misleading conclusions about vulnerability. In the second analysis, we describe preliminary results indicating that both a simple dynamic power system model and frequency data from the August 10, 1996 disturbance in North America show evidence of critical slowing down as the system approaches a failure point. In both examples, autocorrelation in the time-domain signals (frequency and phase angle), significantly increases before reaching the critical point. These results indicate that critical slowing down could be a useful indicator of increased blackout risk.

Original languageEnglish (US)
Title of host publicationProceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010
DOIs
StatePublished - Mar 28 2011
Event44th Hawaii International Conference on System Sciences, HICSS-44 2010 - Koloa, Kauai, HI, United States
Duration: Jan 4 2011Jan 7 2011

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Other

Other44th Hawaii International Conference on System Sciences, HICSS-44 2010
CountryUnited States
CityKoloa, Kauai, HI
Period1/4/111/7/11

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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    Hines, P., Cotilla-Sanchez, E., & Blumsack, S. (2011). Topological models and critical slowing down: Two approaches to power system blackout risk analysis. In Proceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010 [5718524] (Proceedings of the Annual Hawaii International Conference on System Sciences). https://doi.org/10.1109/HICSS.2011.444