• DocumentCode
    735697
  • Title

    Mutual information based Bayesian analysis of power system reliability

  • Author

    Khuntia, Swasti R. ; Rueda, Jose L. ; van der Meijden, Mart A.M.M.

  • Author_Institution
    Intelligent Electrical Power Grids Research Group of Electrical Sustainable Energy Department at Delft University of Technology (TU Delft), 2600GA, The Netherlands
  • fYear
    2015
  • fDate
    June 29 2015-July 2 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper aims at assessing the power system reliability by estimating loss of load (LOL) index using mutual information based Bayesian approach. Reliability analysis is a key component in the design, analysis and tuning of complex structure like electrical power system. Consideration is given to rare events while constructing the Bayesian network, which provides reliable estimates of probability distribution function of LOL with lesser computing effort. Also, the ranking of load components due to loss of load is evaluated. The RBTS and IEEE RTS-24 systems are used as test cases.
  • Keywords
    Bayes methods; Europe; Generators; Monte Carlo methods; Reliability; Silicon; Bayesian analysis; Power system reliability; mutual information; reliability assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2015 IEEE Eindhoven
  • Conference_Location
    Eindhoven, Netherlands
  • Type

    conf

  • DOI
    10.1109/PTC.2015.7232592
  • Filename
    7232592