• DocumentCode
    2692957
  • Title

    Cluster based power system analysis applications

  • Author

    Borges, Carmen L T ; Falcão, Djalma M. ; Taranto, Glauco N.

  • Author_Institution
    Dept. of Electr. Eng., Univ. Federal do Rio de Janeiro, Brazil
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    193
  • Lastpage
    200
  • Abstract
    This paper reports on developments in the implementation of power system analysis applications in clusters of personal computers. Three applications are described: generation and transmission composite reliability evaluation; power system dynamic security analysis; and coordinated tuning of power system stabilizers using genetic algorithms. All applications were developed based on modelling techniques currently adopted in the power system industry and tested with realistic size power system models. The results indicate that this low cost computer system has great potential for practical use in the power utility environment
  • Keywords
    genetic algorithms; power generation reliability; power system security; power system simulation; power system stability; power transmission reliability; workstation clusters; genetic algorithms; low cost computer system; personal computer clusters; power generation reliability evaluation; power system analysis applications; power system dynamic security analysis; power system industry; power system modelling; power system stabilizer tuning; power transmission reliability evaluation; Algorithm design and analysis; Application software; Genetic algorithms; Microcomputers; Power generation; Power system analysis computing; Power system dynamics; Power system modeling; Power system reliability; Power system security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing, 2000. Proceedings. IEEE International Conference on
  • Conference_Location
    Chemnitz
  • Print_ISBN
    0-7695-0896-0
  • Type

    conf

  • DOI
    10.1109/CLUSTR.2000.889040
  • Filename
    889040