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Open AccessArticle

Agent Based Model to Estimate Time to Restoration of Storm-Induced Power Outages

1
Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT 06269, USA
2
Department of Emergency Response, Eversource Energy, Berlin, CT 06037, USA
3
Department of Emergency Management, Jacksonville State University, Jacksonville, AL 36265, USA
*
Author to whom correspondence should be addressed.
Infrastructures 2018, 3(3), 33; https://doi.org/10.3390/infrastructures3030033
Received: 12 July 2018 / Revised: 26 August 2018 / Accepted: 27 August 2018 / Published: 31 August 2018
Extreme weather can cause severe damage and widespread power outages across utility service areas. The restoration process can be long and costly and emergency managers may have limited computational resources to optimize the restoration process. This study takes an agent based modeling (ABM) approach to optimize the utility storm recovery process in Connecticut. The ABM is able to replicate past storm recoveries and can test future case scenarios. We found that parameters such as the number of outages, repair time range and the number of utility crews working can substantially impact the estimated time to restoration (ETR). Other parameters such as crew starting locations and travel speeds had comparatively minor impacts on the ETR. The ABM can be used to train new emergency managers as well as test strategies for storm restoration optimization. View Full-Text
Keywords: agent based model; emergency management; utility restoration agent based model; emergency management; utility restoration
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Walsh, T.; Layton, T.; Wanik, D.; Mellor, J. Agent Based Model to Estimate Time to Restoration of Storm-Induced Power Outages. Infrastructures 2018, 3, 33.

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