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author:

Wang, Qiujie (Wang, Qiujie.) [1] | Jin, Tao (Jin, Tao.) [2] | Mohamed, Mohamed A. (Mohamed, Mohamed A..) [3]

Indexed by:

EI

Abstract:

The speed and robustness of fault section location directly affect the resilience of the distribution network when the latter is exposed to extreme events. This article is proposing a fast and robust fault section location method for distribution system considering the outage reports from smart meters in low-voltage network and notifications from remote fault indicators (RFIs) in medium-voltage network. To make section location faster, a proposed location model moves underreporting variables and misreporting variables to offline recognition. To make section location more robust, the location model proposes new constraints of expected RFI states to remove the limitation of multiple faults on different paths to all sources. Simulation results on a utility feeder with distributed generations demonstrate that the proposed method has faster location and better robustness, which is helpful to the resilience enhancement of the distribution network. © 2007-2012 IEEE.

Keyword:

Electrical engineering Location Systems science

Community:

  • [ 1 ] [Wang, Qiujie]College of Electrical Engineering and New Energy, China Three Gorges University, Yichang; 443000, China
  • [ 2 ] [Wang, Qiujie]Department of Electrical Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Jin, Tao]Department of Electrical Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 4 ] [Mohamed, Mohamed A.]Department of Electrical Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Mohamed, Mohamed A.]Electrical Engineering Department, Faculty of Engineering, Minia University, Minia; 61519, Egypt

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Source :

IEEE Systems Journal

ISSN: 1932-8184

Year: 2022

Issue: 2

Volume: 16

Page: 1954-1964

4 . 4

JCR@2022

4 . 0 0 0

JCR@2023

ESI HC Threshold:61

JCR Journal Grade:2

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 16

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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