Technical Papers
Oct 20, 2016

Multihazard Risk Assessment of Electric Power Systems

Publication: Journal of Structural Engineering
Volume 143, Issue 3

Abstract

Electric power systems are susceptible to damage due to natural hazards such as hurricanes and earthquakes. Considerable effort has been made to develop methodologies for assessing the reliability of electric power systems under a single hazard such as hurricanes or earthquakes. However, there are parts of the world, such as the coastal areas of South Carolina, which are affected by both hazards. In such regions, more comprehensive risk assessment can be achieved when the focus is shifted from single-hazard to multihazard analysis. There is, therefore, a need to develop methods for quantifying the risk posed by the combined effect of multiple hazards on structures and infrastructure systems in these regions. This paper presents a framework for multihazard risk assessment of electric power systems subjected to seismic and hurricane wind hazards. The framework includes hazard and structural component vulnerability models, system reliability analysis, and multihazard risk assessment. A notional electric power network assumed to be located in Charleston, New York, and Seattle is used to demonstrate the proposed framework. The framework can be used for predisaster preparation, mitigation, and postdisaster response planning.

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Acknowledgments

The research described in this paper was supported, in part, by the National Science Foundation (NSF) Catalyzing New International Collaborations Program, and Infrastructure Management and Extreme Events Program under Grant No. NSF-1050443. This support is gratefully acknowledged. However, the writers take sole responsibility for the views expressed in this paper, which may not represent the position of the NSF or their respective institutions.

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Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 143Issue 3March 2017

History

Received: Nov 30, 2015
Accepted: Sep 1, 2016
Published online: Oct 20, 2016
Published in print: Mar 1, 2017
Discussion open until: Mar 20, 2017

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Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Michigan Technological Univ., 212 Dillman Hall, Houghton, MI 49931 (corresponding author). ORCID: https://orcid.org/0000-0001-6764-5979. E-mail: [email protected]
Yue Li, M.ASCE [email protected]
Associate Professor, Dept. of Civil Engineering, Case Western Reserve Univ., Cleveland, OH 44106. E-mail: [email protected]

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