• DocumentCode
    1589395
  • Title

    Probabilistic reliability evaluation of power systems including wind turbine generators using a simplified multi-state model: A case study

  • Author

    Wu, Liang ; Park, Jeongje ; Choi, Jaeseok ; El-Keib, A.A. ; Shahidehpour, Mohammad ; Billinton, Roy

  • Author_Institution
    Dept. of Electr. Eng., Gyeongsang Nat. Univ., Jinju, South Korea
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The importance of renewable energy sources has been growing at a high rate as a result of being environment friendly. In particular, wind energy is one of the most successfully utilized of such sources to produce electrical energy. Because of the randomness of wind speed, the two-state model used for modeling conventional generator is not suited for modeling wind turbine generators(WTG). Although it is more complex and large, a multi-stage model is better suited in this case. This paper presents a simplified multi-state model and test results, which indicate its effectiveness for the WTG. Case study using the Jeju Island power system in Korea as an example shows how it is used to perform a reliability evaluation study of an actual power system.
  • Keywords
    power generation reliability; probability; turbogenerators; wind turbines; multi-state model; probabilistic reliability; random variation; wind turbine generators; Performance evaluation; Power generation; Power system modeling; Power system reliability; Renewable energy resources; Testing; Wind energy; Wind energy generation; Wind speed; Wind turbines; Renewable energy; multi-state model; random variation; reliability evaluation; wind energy; wind turbine generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2009. PES '09. IEEE
  • Conference_Location
    Calgary, AB
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-4241-6
  • Type

    conf

  • DOI
    10.1109/PES.2009.5275723
  • Filename
    5275723