• DocumentCode
    2232627
  • Title

    The validation of power system dynamic simulation with genetic algorithm

  • Author

    Xiaoyan, Qiao ; Yunpeng, Feng

  • Author_Institution
    Sch. of Hydropower, Hebei Univ. of Eng., Handan, China
  • Volume
    3
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    This paper studies the validation of power system dynamic simulation, and the method of correcting parameters. Based on acquiring the static and dynamic data, from the angle of load model, the simulation accuracy with some uncertain model parameters is analyzed, and the uncertain parameters are corrected using the post-fault dynamic data contrarily. According to the characteristics of parameter correction and transient calculation, this paper chooses genetic algorithm with strong global search ability. Finally the simulation in IEEE-39 system is completed in this paper. The load proportion is chosen as the inaccurate parameters, and the simulation of correcting two load proportions is done accordingly. Good results are achieved.
  • Keywords
    genetic algorithms; power system simulation; power system stability; IEEE-39 system; genetic algorithm; global search ability; load model; load proportion; parameter correction; post-fault dynamic data; power system dynamic simulation; transient calculation; Load modeling; genetic algorithm; load model; model validation; power system dynamics simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579721
  • Filename
    5579721