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
Link To Document :
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