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author:

Mohamed, Mohamed A. (Mohamed, Mohamed A..) [1] | Chen, Tao (Chen, Tao.) [2] | Su, Wencong (Su, Wencong.) [3] | Jin, Tao (Jin, Tao.) [4]

Indexed by:

EI

Abstract:

The increase in power outages caused by high-impact low-probability events, such as extreme weather-related climate variation events, is the main reason behind studying power system resilience. However, the concepts of resilience as well as the proactive procedures that can be carried out to address these events are such have not so far been satisfactorily investigated notwithstanding their growing benefits. This paper exhibits a review of the current research on power system resilience; which predominantly focuses on proactive resilience against natural disasters. Firstly, it gives a theoretical framework to acquire insights into power system resilience and its key features. Secondly, it presents frameworks for proactive resilience of power systems with a spotlight on the extreme weather events and their effect. Finally, various strategies for preparing, hardening and enhancing proactive resilience with a focus on microgrids for improving power system resilience are reviewed. © 2013 IEEE.

Keyword:

Disasters Outages

Community:

  • [ 1 ] [Mohamed, Mohamed A.]Department of Electrical Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Mohamed, Mohamed A.]Electrical Engineering Department, Faculty of Engineering, Minia University, Minia; 61519, Egypt
  • [ 3 ] [Chen, Tao]Bradley Department of Electrical and Computer Engineering, Virginia Tech, Arlington; VA, United States
  • [ 4 ] [Su, Wencong]Department of Electrical and Computer Engineering, College of Engineering and Computer Science, University of Michigan-Dearborn, Dearborn; MI, United States
  • [ 5 ] [Jin, Tao]Department of Electrical Engineering, Fuzhou University, Fuzhou; 350116, China

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Source :

IEEE Access

Year: 2019

Volume: 7

Page: 163778-163795

3 . 7 4 5

JCR@2019

3 . 4 0 0

JCR@2023

ESI HC Threshold:150

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 127

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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