• DocumentCode
    136035
  • Title

    An analytical method for constructing a probabilistic model of a wind farm

  • Author

    Sulaeman, Samer ; Tanneeru, Sirisha ; Benidris, Mohammed ; Mitra, Joydeep

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper introduces a new method to model the output power of wind farms in reliability evaluation. The proposed model is presented in terms of capacity outage probability table (COPT) considering the mechanical failure of wind turbine generators (WTG) and the correlation between the outputs of turbines on the same farm. Normal convolution methods are not applicable because the correlation between the turbines. Based on the proposed model, the COPT of wind farm has been constructed and applied on the IEEE RTS-79 to calculate the well known reliability indices. Furthermore, a comparison of the reliability indices with and without considering the mechanical failures of WTG is shown. The results indicate the importance of inclusion WTG mechanical availability in estimating reliability of wind power. The results were validated using Monte Carlo simulation. The proposed model reduces the complexity of using analytical methods, and provides accuracy for the estimation of reliability indices.
  • Keywords
    failure (mechanical); power generation reliability; probability; turbogenerators; wind power plants; wind turbines; COPT; IEEE RTS-79; Monte Carlo simulation; WTG; analytical method; capacity outage probability table; mechanical failure; normal convolution methods; probabilistic model; reliability evaluation; reliability indices; wind farm; wind power reliability estimation; wind turbine generators; Power system reliability; Reliability; Wind farms; Wind power generation; Wind speed; Wind turbines; Wind power; adequacy assessment; reliability of wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939898
  • Filename
    6939898