• DocumentCode
    2417062
  • Title

    Prony analysis and power system stability-some recent theoretical and applications research

  • Author

    Johnson, M.A. ; Zarafonitis, I.P. ; Calligaris, M.

  • Author_Institution
    Ind. Control Centre, Strathclyde Univ., Glasgow, UK
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1918
  • Abstract
    Prony analysis has attracted interest as a tool for determining the modes of power system oscillation from network generator swing curves. This paper first revisits the theoretical aspects of the Prony analysis method. A state-space analysis route is followed and some additional insight into the basis for the method reported. Estimation aspects are then investigated. A proposed application of Kalman filtering as an online algorithm for using several swing curves to generate good estimates of power system modes is made. Using simple low order systems some validation case studies are reported. These studies are designed to give some idea of the type of difficulties that can befall the application of Prony analysis. The issues of sample size selection, data de-trending, model order selection and the use of noisy data are examined. Future research directions are also mentioned
  • Keywords
    Kalman filters; oscillations; power system stability; state-space methods; Kalman filtering; Prony analysis; data de-trending; electric power transmission; low order systems; model order selection; network generator swing curves; noisy data; online algorithm; power system oscillation; power system stability; state-space analysis; Damping; Industrial power systems; Power generation; Power system analysis computing; Power system control; Power system faults; Power system modeling; Power system security; Power system stability; Power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Summer Meeting, 2000. IEEE
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-6420-1
  • Type

    conf

  • DOI
    10.1109/PESS.2000.868827
  • Filename
    868827