DocumentCode
31904
Title
Predicting Hurricane Power Outages to Support Storm Response Planning
Author
Guikema, Seth David ; Nateghi, Roshanak ; Quiring, Steven M. ; Staid, Andrea ; Reilly, Allison C. ; Gao, Ming-Liang
Author_Institution
Johns Hopkins Univ., Baltimore, MD, USA
Volume
2
fYear
2014
fDate
2014
Firstpage
1364
Lastpage
1373
Abstract
Hurricanes regularly cause widespread and prolonged power outages along the U.S. coastline. These power outages have significant impacts on other infrastructure dependent on electric power and on the population living in the impacted area. Efficient and effective emergency response planning within power utilities, other utilities dependent on electric power, private companies, and local, state, and federal government agencies benefit from accurate estimates of the extent and spatial distribution of power outages in advance of an approaching hurricane. A number of models have been developed for predicting power outages in advance of a hurricane, but these have been specific to a given utility service area, limiting their use to support wider emergency response planning. In this paper, we describe the development of a hurricane power outage prediction model applicable along the full U.S. coastline using only publicly available data, we demonstrate the use of the model for Hurricane Sandy, and we use the model to estimate what the impacts of a number of historic storms, including Typhoon Haiyan, would be on current U.S. energy infrastructure.
Keywords
emergency services; power system faults; power system planning; storms; Hurricane Sandy; Typhoon Haiyan; emergency response planning; hurricane power outage prediction model; storm response planning; utility service area; Contingency planning; Emergency services; Hurricanes; Power outages; Power system restoration; Predictive models; Storms; Hurricane; hurricane; outage model; outage prediction; storm response planning;
fLanguage
English
Journal_Title
Access, IEEE
Publisher
ieee
ISSN
2169-3536
Type
jour
DOI
10.1109/ACCESS.2014.2365716
Filename
6949604
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