• DocumentCode
    506488
  • Title

    Modal parameter estimation in the presence of non-linearities

  • Author

    Palmer, Edward

  • Author_Institution
    Sch. of Eng. Syst., QUT, Brisbane, QLD, Australia
  • fYear
    2009
  • fDate
    27-30 Sept. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper investigates the use of time-frequency techniques to assist in the estimation of power system modes which are resolvable by a digital Fourier transform (DFT). The limitations of linear estimation techniques in the presence of large disturbances which excite system non-linearities, particularly the swing equation non-linearity are shown. Where a nonlinearity manifests itself as time varying modal frequencies the Wigner-Ville distribution (WVD) is used to describe the variation in modal frequencies and construct a window over which standard linear estimation techniques can be used. The error obtained even in the presence of multiple resolvable modes is better than 2%.
  • Keywords
    Fourier transforms; Wigner distribution; power system parameter estimation; time-frequency analysis; time-varying systems; Wigner-Ville distribution; digital Fourier transform; large disturbances; linear estimation; modal parameter estimation; power system mode estimation; swing equation nonlinearity; time varying modal frequencies; time-frequency techniques; Damping; Eigenvalues and eigenfunctions; Equations; Frequency estimation; Parameter estimation; Power system analysis computing; Power system modeling; Power system reliability; Power system stability; Time frequency analysis; Power System Stability; modal parameters; non-lineaities; time-frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference, 2009. AUPEC 2009. Australasian Universities
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    978-1-4244-5153-1
  • Electronic_ISBN
    978-0-86396-718-4
  • Type

    conf

  • Filename
    5356626