• DocumentCode
    1545478
  • Title

    Analyzing dynamic performance of power systems over parameter space using normal forms of vector fields. I. Identification of vulnerable regions (Republished)

  • Author

    Zhu, S. ; Vittal, V. ; Kliemann, W.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • Volume
    16
  • Issue
    4
  • fYear
    2001
  • Firstpage
    711
  • Lastpage
    718
  • Abstract
    This is the first part of a two-part paper discussing the dynamic performance of power systems over parameter space using the method of normal forms. The normal form transformation is also derived under the second order resonance condition. By using the resonance condition as a guide to indicate unsatisfactory system dynamic performance, the authors propose a computationally efficient method to study the system under varying parameters. An approach to determine the resonance and near-resonance region in the parameter space is developed. For the resonance case, conclusions are drawn by simply examining the analytic solutions. For the near-resonance case, the machine states showing poor performance can be found by tracing the dominant nonlinear modal interaction and mode-machine interaction. The method is tested on the IEEE 50-generator system. The results reveal many interesting characteristics of the system related to resonance and near-resonance, which validates the effectiveness of the method as a useful analytical tool for system operation and design. Further work on quantifying the effect of the modal interactions on the machine states is presented in part II. [An incorrect version of this paper originally appeared in the IEEE Transactions on Power Systems, vol.16, no.3, p.445-50, 2001. This a republished corrected version.]
  • Keywords
    power system identification; resonance; IEEE 50-generator system; computationally efficient method; dominant nonlinear modal interaction; dynamic performance analysis; mode-machine interaction; near-resonance region determination; nonlinear analysis; normal form transformation; parameter space; power systems; resonance region determination; second order resonance condition; unsatisfactory system dynamic performance; varying parameters; vector fields; vulnerable regions identification; Functional analysis; Optimal control; Performance analysis; Power system analysis computing; Power system dynamics; Power system interconnection; Power system security; Power systems; Resonance; System testing;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.962417
  • Filename
    962417