• DocumentCode
    506242
  • Title

    Composite power system reliability modeling and evaluation considering aging components

  • Author

    Kim, Hagkwen ; Singh, Chanan

  • Author_Institution
    Texas A&M Univ., College Station, TX, USA
  • fYear
    2009
  • fDate
    5-8 Nov. 2009
  • Abstract
    As the components grow older, most power systems may enter a wear out stage indicating an aging trend. This paper is focused on aging effects in composite power system reliability evaluation. Quantitative reliability indices such as Loss of Load Expectation (LOLE) are calculated. The IEEE Reliability Test Systems is used to illustrate this technique.
  • Keywords
    IEEE standards; Monte Carlo methods; power system reliability; power system simulation; stochastic processes; IEEE reliability test systems; aging effects; composite power system reliability evaluation; composite power system reliability modeling; load expectation loss; quantitative reliability indices; sequential Monte Carlo method; stochastic process; Aging; Interconnected systems; Load flow; Power generation; Power system modeling; Power system reliability; Power system simulation; Stochastic processes; Transmission line matrix methods; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineering, 2009. ELECO 2009. International Conference on
  • Conference_Location
    Bursa
  • Print_ISBN
    978-1-4244-5106-7
  • Electronic_ISBN
    978-9944-89-818-8
  • Type

    conf

  • Filename
    5354997