• DocumentCode
    3048343
  • Title

    Comparing variance reduction techniques for Monte Carlo Simulation of trading and security in a three-area power system

  • Author

    Perninge, Magnus ; Amelin, Mikael ; Knazkins, Valerijs

  • Author_Institution
    Sch. of Electr. Eng., R. Inst. of Technol., Stockholm
  • fYear
    2008
  • fDate
    13-15 Aug. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A variance reduction technique is a method used to reduce the variance of a Monte Carlo simulation. In this paper four of the most commonly used variance reduction techniques are tested to estimate the trade of between trading and security in a three-area electric power system. The comparison is made by regarding both the variance reduction and the bias induced by the method.
  • Keywords
    Monte Carlo methods; power system security; Monte Carlo simulation; three-area power system security; variance reduction techniques; Benchmark testing; Monte Carlo methods; Power system reliability; Power system security; Power system simulation; Random number generation; Sampling methods; Stochastic processes; System testing; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exposition: Latin America, 2008 IEEE/PES
  • Conference_Location
    Bogota
  • Print_ISBN
    978-1-4244-2217-3
  • Electronic_ISBN
    978-1-4244-2218-0
  • Type

    conf

  • DOI
    10.1109/TDC-LA.2008.4641763
  • Filename
    4641763