• DocumentCode
    2368539
  • Title

    An interpretation of stochastic voltage collapse indication

  • Author

    Hassan, R.M. ; Nwankpa, C.O.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
  • fYear
    1995
  • fDate
    7-12 May 1995
  • Firstpage
    40
  • Lastpage
    46
  • Abstract
    This paper attempts to justify claims made by the authors concerning the application of a power system stochastic voltage collapse indicator (SVCI). Since the SVCI is an approximate solution to a system of stochastic differential equations, the authors present a scheme to evaluate its validity. The scheme involves the use of Monte-Carlo techniques where for a given confidence interval, samples representing different realizations of the modeled uncertain power system will be run with the goal of obtaining the sampled value of the SVCI. Accuracy and sensitivity of the indicator are compared to benchmark measurements obtained from Monte-Carlo runs of a dynamic power system perturbed by small-magnitude perturbations. Strong correlation between the two sets of values for the SVCI and its sampled counterpart will give credence to the application of the SVCI to voltage stability studies
  • Keywords
    Monte Carlo methods; difference equations; digital simulation; power system analysis computing; power system stability; stochastic processes; Monte-Carlo techniques; accuracy; computer simulation; confidence interval; power system voltage stability; sensitivity; small-magnitude perturbations; stochastic differential equations; stochastic voltage collapse indicator; Differential equations; Power system dynamics; Power system measurements; Power system modeling; Power system simulation; Power system stability; Power systems; Stochastic processes; Stochastic systems; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Industry Computer Application Conference, 1995. Conference Proceedings., 1995 IEEE
  • Conference_Location
    Salt Lake City, UT
  • Print_ISBN
    0-7803-2663-6
  • Type

    conf

  • DOI
    10.1109/PICA.1995.515163
  • Filename
    515163