• DocumentCode
    2045870
  • Title

    A new algorithm of improving fault location based on SVM

  • Author

    Jin, Zhang ; Renmu, He

  • Author_Institution
    North China Electr. Univ., Beijing, China
  • Volume
    1
  • fYear
    2004
  • fDate
    5-8 April 2004
  • Firstpage
    204
  • Abstract
    A fault location algorithm using estimated line parameters is provided in this paper. The characteristic of this algorithm is using estimated line parameters. And the influence of the line parameters is eliminated. Support vector machines theory is used to estimate transmission line parameters, which is a nonlinear black box modeling problem. The historical data is used as training sample. EMTP simulation shows that this method notability improves the accuracy of fault location.
  • Keywords
    EMTP; fault location; power system parameter estimation; power transmission faults; power transmission protection; support vector machines; transmission line theory; EMTP simulation; SVM; estimated line parameters; fault location accuracy; fault location algorithm; historical data; nonlinear black box modeling problem; support vector machines; transmission line parameters;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Developments in Power System Protection, 2004. Eighth IEE International Conference on
  • ISSN
    0537-9989
  • Print_ISBN
    0-86341-385-4
  • Type

    conf

  • DOI
    10.1049/cp:20040099
  • Filename
    1364842