• DocumentCode
    3087552
  • Title

    Reliability assessment in electrical power systems: the Weibull-Markov stochastic model

  • Author

    Van Casteren, Jasper ; Bollen, Math ; Schmieg, Martin

  • Author_Institution
    DIgSILENT GmbH, Germany
  • fYear
    1999
  • fDate
    36373
  • Abstract
    The field of power system reliability is dominated by the use of homogeneous Markov models. The negative exponential distributions in these models, however, are unrealistic in the case of repair or switching times. The use of homogeneous Markov models is often justified by arguing that the use of other models makes it impossible to perform analytical or nonsequential calculations. A special kind of semi-Markov model is proposed which uses Weibull-distributions for all stochastic durations. The proposed model encloses the homogeneous Markov model as a subset, enables bell-shaped duration distributions and may be used in various analytical and nonsequential reliability assessment methods
  • Keywords
    Markov processes; Weibull distribution; power system reliability; stochastic processes; Weibull-Markov stochastic model; Weibull-distributions; bell-shaped duration distributions; electrical power systems; homogeneous Markov models; negative exponential distributions; nonsequential reliability assessment methods; power system reliability; reliability assessment; repair times; semi-Markov model; switching times; Exponential distribution; Failure analysis; Mathematical model; Power system analysis computing; Power system modeling; Power system reliability; Power system transients; Stochastic processes; Stochastic systems; Weibull distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial & Commercial Power Systems Technical Conference, 1999 IEEE.
  • Conference_Location
    Sparks, NV
  • Print_ISBN
    0-7803-5593-8
  • Type

    conf

  • DOI
    10.1109/ICPS.1999.787215
  • Filename
    787215