• DocumentCode
    1172896
  • Title

    A Probabilistic Approach to Power System Stability Analysis

  • Author

    Anderson, Paul M. ; Bose, Anjan

  • Author_Institution
    Electrical and Computer Engineering Arizona State University
  • Issue
    8
  • fYear
    1983
  • Firstpage
    2430
  • Lastpage
    2439
  • Abstract
    Power system stability analysis is usually performed in a deterministic framework in which the time domain response of the power system is studied for certain specific disturbances to determine the adequacy of the system. However, the occurrence of disturbances and their attendant protective switching sequences are random processes and it would be more meaningful to determine the probability of stability for a power system. An approach for such a determination is presented in this paper. The probability of steady state stability is relatively easier to determine because of the linearization of the system equations. The probability of transient stability, on the other hand, is much more difficult to obtain analytically because of the nonlinear transformations required. However, a Monte Carlo simulation method to determine transient stability probability is shown to be feasible.
  • Keywords
    Nonlinear equations; Performance analysis; Power system analysis computing; Power system protection; Power system stability; Power system transients; Random processes; Steady-state; Time domain analysis; Transient analysis;
  • fLanguage
    English
  • Journal_Title
    Power Apparatus and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9510
  • Type

    jour

  • DOI
    10.1109/TPAS.1983.317742
  • Filename
    4112235