Unraveling geographic interdependencies in electric power infrastructure

Carlos E. Restrepo, Jeffrey S. Simonoff, Rae Zimmerman

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

Abstract

Interdependencies among infrastructure systems are now becoming commonplace, and present both opportunities and vulnerabilities. Initial attention was paid to functional interdependencies among infrastructure systems regardless of locational characteristics. Using electric power as a focal point, geographic interdependencies are evaluated, that is, outages that spread across several states rather than being confined to single states. The analysis evaluates the extent to which the two different groups have distinct characteristics. The characteristics examined include incident counts, number of customers lost, duration and energy unserved. Data are drawn from the Disturbance Analysis Working Group (DAWG) database, which is maintained by the North American Electric Reliability Council (NERC), and from the U.S. Energy Information Administration (EIA).

Original languageEnglish (US)
Title of host publicationProceedings of the 39th Annual Hawaii International Conference on System Sciences, HICSS'06
Pages248a
DOIs
StatePublished - Oct 17 2006
Event39th Annual Hawaii International Conference on System Sciences, HICSS'06 - Kauai, HI, United States
Duration: Jan 4 2006Jan 7 2006

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume10
ISSN (Print)1530-1605

Other

Other39th Annual Hawaii International Conference on System Sciences, HICSS'06
CountryUnited States
CityKauai, HI
Period1/4/061/7/06

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Restrepo, C. E., Simonoff, J. S., & Zimmerman, R. (2006). Unraveling geographic interdependencies in electric power infrastructure. In Proceedings of the 39th Annual Hawaii International Conference on System Sciences, HICSS'06 (pp. 248a). [1579808] (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 10). https://doi.org/10.1109/HICSS.2006.518