• DocumentCode
    389834
  • Title

    Updating operating rules against voltage collapse using new probabilistic techniques

  • Author

    Schlumberger, Y. ; Pompee, J. ; De Pasquale, M.

  • Author_Institution
    R&D, EDF, Clamart, France
  • Volume
    2
  • fYear
    2002
  • fDate
    6-10 Oct. 2002
  • Firstpage
    1139
  • Abstract
    A risk-based statistical approach has been carried out to assess voltage stability limits in the South Eastern part of France´s subsystem and to construct new operating rules to avoid voltage collapse. The possibility of taking a large number of power system states as well as the uncertainties of the models into account enables us to assess accurately and robustly the stability limits of the system. This has lead Electricite de France and National Grid Company to develop the ASSESS tool to performs this kind of study. After this statistical study, a probabilistic refinement introducing probabilities of power system states has been carried out to validate the rules. Bayesian Belief Networks proved to be helpful for the evaluation of a power system state probability, because of their ability to model the uncertainties and dependencies of variables.
  • Keywords
    belief networks; power system analysis computing; power system dynamic stability; probability; risk management; statistical analysis; ASSESS tool; Bayesian Belief Networks; Electricite de France; National Grid Company; operating rules updating; power system state probabilities; probabilistic refinement; probabilistic techniques; risk-based statistical approach; statistical security studies; uncertainties modelling; voltage collapse avoidance; voltage stability assessment; Bayesian methods; ISO; Power generation; Power system interconnection; Power system modeling; Power system stability; Probability; Robust stability; Uncertainty; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES
  • Print_ISBN
    0-7803-7525-4
  • Type

    conf

  • DOI
    10.1109/TDC.2002.1177638
  • Filename
    1177638