• DocumentCode
    2048265
  • Title

    The direct parameter identification approach for continuous-time model of power system

  • Author

    Zhu Shouzhen ; Shen Shande ; Chen Houlian ; Jiao Lianwei ; Wang Ligang ; Xu Wei

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
  • Volume
    5
  • fYear
    1993
  • fDate
    19-21 Oct. 1993
  • Firstpage
    414
  • Abstract
    The identification of continuous-time models is one of the most important branches of power system identification. The direct method based on equation error formulation using piecewise linear polynomial functions is not only simple but also useful for online parameter estimation. Another direct method based on output error formulation using least squares parameter estimation is also developed in this paper. The comparison results of direct and indirect methods are given. The results of the field tests demonstrate that the application of the direct methods to power systems is feasible.<>
  • Keywords
    least squares approximations; parameter estimation; piecewise polynomial techniques; piecewise-linear techniques; power systems; continuous-time model; direct parameter identification; equation error formulation; least squares approach; online; output error formulation; piecewise linear polynomial functions; power system; Chemical industry; Context modeling; Equations; Mathematical model; Parameter estimation; Polynomials; Power system modeling; Sampling methods; System identification; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    0-7803-1233-3
  • Type

    conf

  • DOI
    10.1109/TENCON.1993.320670
  • Filename
    320670