• DocumentCode
    1157743
  • Title

    Parameter estimation of excitation systems from sampled data

  • Author

    Liaw, C.M. ; Liu, T.S. ; Liu, A.H. ; Chen, Y.T. ; Lin, C.J.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tsing Hua Univ., Ksinchu, Taiwan
  • Volume
    37
  • Issue
    5
  • fYear
    1992
  • fDate
    5/1/1992 12:00:00 AM
  • Firstpage
    663
  • Lastpage
    666
  • Abstract
    The parameter estimation of excitation systems using a proposed indirect stochastic method is presented. In this method, the discrete-time ARMA model corresponding to each block of the excitation system is first identified from sampled input/output data. Then, the proper reduced order of the continuous-time model is determined using the concept of dominant energy modes. Finally, the parameters of the continuous-time model are found by matching its frequency response to that of the identified ARMA model. The proposed method is used to estimate the parameters of an excitation system in a pumped storage power plant. The results show that the estimated continuous-time models are rather close to those supplied by the vender
  • Keywords
    exciters; frequency response; parameter estimation; pumped-storage power stations; synchronous generators; time series; continuous-time model; discrete-time ARMA model; dominant energy modes; excitation systems; frequency response; indirect stochastic method; parameter estimation; pumped storage power plant; reduced order; sampled data; synchronous generators; Control systems; Feedback loop; Frequency response; Parameter estimation; Power generation; Power system modeling; Power system stability; Reduced order systems; Stochastic systems; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.135511
  • Filename
    135511