• DocumentCode
    1468372
  • Title

    Nonlinear dynamic load modelling: model and parameter estimation

  • Author

    Ju, P. ; Handschin, E. ; Karlsson, D.

  • Author_Institution
    Dept. of Electr. Eng., Hohai Univ., Nanjing, China
  • Volume
    11
  • Issue
    4
  • fYear
    1996
  • fDate
    11/1/1996 12:00:00 AM
  • Firstpage
    1689
  • Lastpage
    1697
  • Abstract
    This paper is devoted to nonlinear dynamic modelling of electric loads. A composite dynamic-static model proposed by P. Ju et.al. (see Control and Decision, vol.4, no.2, p.20-3, 1989) is further developed. This model represents both dynamic and static load characteristics. Meanwhile, it includes the effect of voltage angle on transient active power. The second contribution of this paper is to provide a parameter estimation approach using genetic algorithms. This new approach is proven to be simple yet powerful
  • Keywords
    genetic algorithms; load (electric); nonlinear dynamical systems; parameter estimation; power system transients; power systems; composite dynamic-static model; dynamic load characteristics; electric loads; genetic algorithms; nonlinear dynamic load modelling; parameter estimation; static load characteristics; transient active power; voltage angle effect; Genetic algorithms; Induction motors; Load modeling; Parameter estimation; Power system modeling; Power system planning; Power system security; Stability; System testing; Voltage;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.544629
  • Filename
    544629