DocumentCode :
68889
Title :
Proactive Recovery of Electric Power Assets for Resiliency Enhancement
Author :
Arab, Ali ; Khodaei, Amin ; Zhu Han ; Khator, Suresh K.
Author_Institution :
Dept. of Ind. Eng., Univ. of Houston, Houston, TX, USA
Volume :
3
fYear :
2015
fDate :
2015
Firstpage :
99
Lastpage :
109
Abstract :
This paper presents a significant change in current electric power grid response and recovery schemes by developing a framework for proactive recovery of electric power assets with the primary objective of resiliency enhancement. Within the proposed framework, which can potentially present the next generation decision-making tool for proactive recovery, several coordinated models will be developed including: 1) the outage models to indicate the impact of hurricanes on power system components; 2) a stochastic pre-hurricane crew mobilization model for managing resources before the event; and 3) a deterministic post-hurricane recovery model for managing resources after the event. Proposed models will be extended to ensure applicability to a variety of electric power grids with different technologies and regulatory issues. The theoretical and practical implications of the developed models will push the research frontier of proactive response and recovery schemes in electric power grids, while its flexibility will support application to a variety of infrastructures, in response to a wide range of extreme weather events and natural disasters.
Keywords :
decision making; power grids; power system management; power system restoration; stochastic processes; deterministic post-hurricane recovery model; electric power asset proactive recovery scheme; electric power grid response; extreme weather events; natural disasters; next generation decision-making tool; outage models; power system components; resiliency enhancement; resource management; stochastic pre-hurricane crew mobilization model; Disasters; Hurricanes; Meteorology; Next generation networking; Power grids; Power system reliability; Power system restoration; Resiliency; Smart grids; Stochastic processes; Natural disaster; recovery; resiliency; restoration; smart grid;
fLanguage :
English
Journal_Title :
Access, IEEE
Publisher :
ieee
ISSN :
2169-3536
Type :
jour
DOI :
10.1109/ACCESS.2015.2404215
Filename :
7042820
Link To Document :
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