• DocumentCode
    1493616
  • Title

    An expert system for fault section diagnosis of power systems using fuzzy relations

  • Author

    Cho, Hyun-Joon ; Park, Jong-Keun

  • Author_Institution
    LG Electronics Res. Center, Seoul, South Korea
  • Volume
    12
  • Issue
    1
  • fYear
    1997
  • fDate
    2/1/1997 12:00:00 AM
  • Firstpage
    342
  • Lastpage
    348
  • Abstract
    This paper proposes an expert system using fuzzy relations to deal with uncertainties imposed on fault section diagnoses of power systems. The authors build sagittal diagrams which represent the fuzzy relations for power systems, and diagnose fault sections using the sagittal diagrams. Next, they examine the malfunction or false alarms of relays and circuit breakers based on the alarm information and the estimated fault section. The proposed system provides the fault section candidates in terms of the degree of membership and the malfunction or false alarm. An operator monitors these candidates and is able to diagnose the fault section, coping with uncertainties. Experimental studies for real power systems reveal the usefulness of the proposed technique to diagnose faults that have uncertainty
  • Keywords
    diagnostic expert systems; fault location; fuzzy set theory; power system analysis computing; circuit breakers; computer simulation; expert system; false alarms; fault section candidates; fault section diagnosis; fuzzy relations; malfunctions; power systems; relays; sagittal diagrams; uncertainty; Circuit faults; Diagnostic expert systems; Fault diagnosis; Fuzzy systems; Hybrid intelligent systems; Power system faults; Power system protection; Power system relaying; Power system restoration; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.574957
  • Filename
    574957