• DocumentCode
    3050368
  • Title

    Estimation of generator excitation-system parameters by tabu search

  • Author

    Yao, Xiaoyin ; Karady, G.G. ; Farmer, R.G. ; Agrawal, B.L.

  • Author_Institution
    Arizona State Univ., Tempe, AZ, USA
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1185
  • Abstract
    The paper presents a tabu search method for estimating the parameters of a generator excitation-system model. To apply the method, it is necessary to have a measured time domain response of the generator and excitation system for a specific perturbation. The method systematically compares the measured response to simulated responses using different sets of excitation system parameters. This comparison continues until it has been determined that a set of parameters has been identified that gives the best comparison between the measured response and the simulated response. An algorithm for the tabu search has been developed, which provides quick convergence and a satisfactory solution. This algorithm has been applied for a generator and excitation system that has been field-tested. The paper shows that a set of parameters has been found by the tabu search method, which provides excellent comparison of the simulated response to the measured response
  • Keywords
    electric generators; electric power generation; exciters; machine theory; power system parameter estimation; search problems; generator excitation-system parameters estimation; measured response; perturbation; simulated response; tabu search algorithm; time domain response; Parameter estimation; Power generation; Power system modeling; Power system planning; Power system simulation; Power system stability; Power system transients; Predictive models; Search methods; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Winter Meeting, 2001. IEEE
  • Conference_Location
    Columbus, OH
  • Print_ISBN
    0-7803-6672-7
  • Type

    conf

  • DOI
    10.1109/PESW.2001.917243
  • Filename
    917243