• DocumentCode
    2615854
  • Title

    A practical probabilistic reliability assessment using contingency simulation

  • Author

    Maruejouls, Nicolas ; Sermanson, Vincent ; Lee, Stephen T. ; Zhang, Pei

  • Author_Institution
    Electricite de France, France
  • fYear
    2004
  • fDate
    10-13 Oct. 2004
  • Firstpage
    1312
  • Abstract
    This paper describes a practical method of probabilistic reliability assessment (PRA) for large interconnected power systems. It takes a large number of contingency load flow simulations and combine them with a practical method of characterizing the effect of the availabilities of generators, lines and transformers for computing meaningful probabilistic reliability indices (PRI). The method was demonstrated on the US Eastern interconnection and has been applied by several utilities belonging to the EPRI PRA user group. The ability of the method to provide insights on root causes, weak points and regional causes and effects was shown. Results would also be useful for developing effective remedial actions or investment options. The reliability indices could be used for measuring or monitoring bottlenecks, if an online computation of these indices is implemented. They can also be used as one of several performance indices for transmission investment decisions.
  • Keywords
    investment; load flow; power system interconnection; power system simulation; power transmission reliability; probability; EPRI PRA user group; US Eastern interconnection; bottleneck monitoring; contingency load flow simulation; generators; interconnected power system; online computation; power transmission operation; power transmission planning; probabilistic reliability assessment; probabilistic reliability indices; transformers; transmission investment decisions; Availability; Character generation; Computational modeling; Investments; Load flow; Monitoring; Power system interconnection; Power system reliability; Power system simulation; Transformers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference and Exposition, 2004. IEEE PES
  • Print_ISBN
    0-7803-8718-X
  • Type

    conf

  • DOI
    10.1109/PSCE.2004.1397609
  • Filename
    1397609