• DocumentCode
    3149107
  • Title

    Review of synchronous generator parameters estimation and model identification

  • Author

    Ghomi, M. ; Sarem, Y. Najafi

  • Author_Institution
    Islamic Azad Univ. of Toyserkan, Toyserkan
  • fYear
    2007
  • fDate
    4-6 Sept. 2007
  • Firstpage
    228
  • Lastpage
    235
  • Abstract
    In this article the review of synchronous generator parameter estimation and model identification presented. Synchronous generators play a very important role in the stability of power systems. A valid model for synchronous generators is essential for a reliable analysis of stability and dynamic performance. Almost three-quarters of a century after the first publications in this area, the subject is still a challenging and attractive research topic. There are many propositions for the determination of synchronous machine parameters. Among the modern techniques used are neural networks, finite elements, on-line and off-line statistical methods, frequency response, load rejection and others.
  • Keywords
    electric machine analysis computing; finite element analysis; machine theory; neural nets; parameter estimation; power system stability; statistical analysis; synchronous generators; finite element analysis; frequency response test; load rejection; model identification; neural networks; off-line statistical methods; on-line statistical methods; power system stability; synchronous generator parameter estimation; Parameter estimation; Performance analysis; Power system analysis computing; Power system dynamics; Power system modeling; Power system reliability; Power system stability; Stability analysis; Synchronous generators; Synchronous machines; Synchronous generator; model identification; parameter estimation; review;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International
  • Conference_Location
    Brighton
  • Print_ISBN
    978-1-905593-36-1
  • Electronic_ISBN
    978-1-905593-34-7
  • Type

    conf

  • DOI
    10.1109/UPEC.2007.4468951
  • Filename
    4468951