• DocumentCode
    2590616
  • Title

    Monte Carlo Simulation and Contingency Enumeration in Bulk Power Systems Reliability Assessment

  • Author

    Rei, Andrea M. ; Schilling, Marcus Th ; Melo, Albert C G

  • Author_Institution
    Brazilian Electr. Power Res. Center, Rio de Janeiro
  • fYear
    2006
  • fDate
    11-15 June 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In reliability assessment of bulk power systems, two methods have been largely studied and used: contingency enumeration and non-sequential Monte Carlo simulation. Both have their wellknown advantages and drawbacks. Contingency enumeration is conceptually simple and usually requires low computational effort. Conversely, Monte Carlo simulation is computationally harder, but much more versatile to model random aspects. This paper depicts some major aspects regarding both methods. It also shows that it is not a matter of choosing the definite and unique technique, but how they can be used in a complementary way. A real power system, based on the Brazilian interconnected electrical system, and the commercial program NH2 are used to illustrate that both methods are feasible to bulk power systems, and can be used in order to achieve complementary results
  • Keywords
    Monte Carlo methods; power system reliability; power system simulation; Brazilian interconnected electrical system; bulk power systems reliability; commercial NH2 program; contingency enumeration; nonsequential Monte Carlo simulation; real power system; Industrial power systems; Interconnected systems; Power generation; Power system analysis computing; Power system interconnection; Power system modeling; Power system reliability; Power system simulation; Power transmission; Production systems; Composite System Reliability; Contingency Enumeration; Monte Carlo Simulation; Power Generation Realiability; Power System Reliability; Power Transmission Reliability; Probabilistic Reliability Analysis; State Enumeration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
  • Conference_Location
    Stockholm
  • Print_ISBN
    978-91-7178-585-5
  • Type

    conf

  • DOI
    10.1109/PMAPS.2006.360222
  • Filename
    4202234