Current transients based phase selection and fault location in active distribution networks with spurs using artificial intelligence

K Lout, R K Aggarwal

Research output: Contribution to conferencePaper

7 Citations (Scopus)

Abstract

In electrical distribution networks, short-circuit faults are undesirable since they cause interruption of supply, affect system reliability and influence revenue for distribution companies. This paper investigates the use of current signals to determine the faulted phases during a fault and also proposes a novel approach to distinguish whether the fault lies on the feeder or one of the spurs. The distance of the fault from the substation is also evaluated using artificial neural network techniques and sensitivity tests further demonstrate the robustness of the proposed method.
Original languageEnglish
Pages1-5
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 IEEE Power and Energy Society General Meeting (PES 2013) - Vancouver, Canada
Duration: 21 Jul 201325 Jul 2013

Conference

Conference2013 IEEE Power and Energy Society General Meeting (PES 2013)
CountryCanada
CityVancouver
Period21/07/1325/07/13

Keywords

  • distribution networks
  • EMTP simulations
  • fault location
  • neural networks
  • power system protection
  • power system transients
  • wavelet transforms

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