• DocumentCode
    976028
  • Title

    Accurate fault location in the power transmission line using support vector machine approach

  • Author

    Salat, Robert ; Osowski, Stanislaw

  • Author_Institution
    Warsaw Univ. of Agric., Poland
  • Volume
    19
  • Issue
    2
  • fYear
    2004
  • fDate
    5/1/2004 12:00:00 AM
  • Firstpage
    979
  • Lastpage
    986
  • Abstract
    The paper presents a new approach to the location of fault in the high-voltage power transmission line, relying on the application of the support vector machine and frequency characteristics of the measured one-terminal voltage and current transient signals of the system. The extensive numerical experiments performed for location of different kinds of faults of the transmission line have proved very good accuracy of fault location algorithm. The average error of fault location in a 200-km transmission line is below 100 m and the maximum error did not exceed 2 km.
  • Keywords
    fault location; neural nets; power engineering computing; power system transients; power transmission faults; power transmission lines; support vector machines; 200 km; current transient signals; fault location; power transmission line; support vector machine; terminal voltage; Circuit faults; Current measurement; Fault location; Frequency measurement; Power measurement; Power system transients; Power transmission lines; Support vector machines; Transmission line measurements; Voltage;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2004.825883
  • Filename
    1295008