• DocumentCode
    1169572
  • Title

    Monte Carlo Simulation of Power System Stability

  • Author

    Timko, Kevin J. ; Bose, Anjan ; Anderson, Paul M.

  • Author_Institution
    Department of Electrical and Computer Engineering Arizona State University
  • Issue
    10
  • fYear
    1983
  • Firstpage
    3453
  • Lastpage
    3459
  • Abstract
    This paper presents a Monte Carlo simulation of the transient stability of a power system. The simulation time is in the order of years in which the occurrence of disturbances and the subsequent protective action are considered to be stochastic processes. The objective is to obtain a probabilistic measure of transient stability for a power system instead of just its particular response to an individual disturbance. The latter is the usual output of deterministic transient stability programs that are used for present day worst case analysis. A probabilistic analysis is needed if such worst case design criteria is to be replaced by (probabilistic) reliability criteria. This paper describes a computer program that has been developed for such a Monte Carlo simulation and presents some results of its application to representative systems.
  • Keywords
    Particle measurements; Power measurement; Power system analysis computing; Power system measurements; Power system protection; Power system reliability; Power system simulation; Power system stability; Power system transients; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Power Apparatus and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9510
  • Type

    jour

  • DOI
    10.1109/TPAS.1983.317843
  • Filename
    4111843