• DocumentCode
    1378244
  • Title

    A new framework for estimation of generator dynamic parameters

  • Author

    Shen, Meng ; Venkatasubramanian, Vaithiananthan ; Abi-Samra, Nicholas ; Sobajic, Dejan

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • Volume
    15
  • Issue
    2
  • fYear
    2000
  • fDate
    5/1/2000 12:00:00 AM
  • Firstpage
    756
  • Lastpage
    763
  • Abstract
    The accuracy of generator dynamic parameters is one of the crucial factors in correctly simulating the power system transient phenomena. This paper proposes a general procedure for estimating the generator dynamic parameters from measurements. The proposed procedure employs a gradient based simulation optimization technique to estimate the parameters. Effectiveness of the simulation optimization method is shown in some examples for estimating the exciter and governor model parameters. Impacts of noise and parameter uncertainties are briefly discussed in the paper
  • Keywords
    exciters; parameter estimation; power system transients; synchronous generators; exciter parameters estimation; generator dynamic parameters; governor model parameters estimation; gradient based simulation optimisation; noise impacts; parameter uncertainties; parameters estimation; power system transient simulation; simulation optimisation; synchronous generator model; Optimization methods; Parameter estimation; Power generation; Power system dynamics; Power system modeling; Power system reliability; Power system simulation; Power systems; Synchronous machines; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.867170
  • Filename
    867170