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Application of Hybrid Geo-Spatially Granular Fragility Curves to Improve Power Outage Predictions | OMICS International | Abstract
ISSN: 2167-0587

Journal of Geography & Natural Disasters
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Research Article

Application of Hybrid Geo-Spatially Granular Fragility Curves to Improve Power Outage Predictions

Melissa R. Allen, Steven J. Fernandez*, Olufemi A Omitaomu and Kimberly A. Walker

Oak Ridge National Laboratory, Computational Science and Engineering, USA

*Corresponding Author:
Steven Joseph Fernandez
Oak Ridge National Laboratory
Computational Science and Engineering, USA
Tel: 1-865 -576-3565
E-mail: [email protected]

Received Date: July 07, 2014; Accepted Date: August 04, 2014; Published Date: August 26, 2014

Citation: Allen MR, Fernandez SJ, Omitaomu OA, Walker KA (2014) Application of Hybrid Geo-Spatially Granular Fragility Curves to Improve Power Outage Predictions. J Geogr Nat Disast 4:127. doi: 10.4172/2167-0587.1000127

Copyright: 2014 Allen MR. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Fragility curves depict the relationship between a weather variable (wind speed, gust speed, ice accumulation, precipitation rate) and the observed outages for a targeted infrastructure network. This paper describes an empirical study of the county by county distribution of power outages and one minute weather variables during Hurricane Irene with the objective of comparing 1) ‘as built’ fragility curves (statistical approach) to engineering ‘as designed’ (bottom up) fragility curves for skill in forecasting outages during future hurricanes; 2) county specific fragility curves to find examples of significant deviation from average behavior; and 3) the engineering practices of outlier counties to suggest future engineering studies of robustness. Outages in more than 90% of the impacted counties could be anticipated through an average or ‘generic’ fragility curve. The remaining counties could be identified and handled as exceptions through geographic data sets. The counties with increased or decreased robustness were characterized by terrain more or less susceptible to persistent flooding in areas where above ground poles located their foundations. Land use characteristics of the area served by the power distribution system can suggest trends in the “as built” power grid vulnerabilities to extreme weather events that would be subjects for site specific studies.


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