• DocumentCode
    2588394
  • Title

    Capacity credit for renewable energy resources

  • Author

    Ferreira, L.A.F.M. ; Carvalho, P.M.S.

  • Author_Institution
    Dept. de Engenharia Electrotecnica e de Comput., Inst. Superior Tecnico, Lisbon, Portugal
  • Volume
    1
  • fYear
    1999
  • fDate
    31 Jan-4 Feb 1999
  • Firstpage
    471
  • Abstract
    The paper addresses the problem of computing the capacity credit for renewable energy resources. Wind, solar, and mini-hydro resources are often considered as energy resources with a negligible capacity value. The rationale is that one cannot depend on those resources to meet the load demand. However, one can depend on them to a certain extent. Hence, their capacity credit is nonzero. The paper reviews the literature on the subject, proposes a procedure to compute the capacity credit, and presents numerical results. The procedure is probabilistic, but uses simulation for the computation of complex distribution functions such as residual demand distribution and the resource´s power distribution function. Numerical results are shown, including the resource capacity credit as a function of resource installed capacity. Namely, it is shown that the capacity credit decreases (in percent of the resource´s installed capacity) as the installed capacity increases
  • Keywords
    power distribution; probability; renewable energy sources; wind power; capacity credit; complex distribution functions; energy resources; mini-hydro resources; negligible capacity value; power distribution function; probabilistic procedure; renewable energy resources; residual demand distribution; resource installed capacity; solar resources; wind resources; Capacity planning; Computational modeling; Distributed computing; Distribution functions; Energy resources; Power distribution; Power system planning; Renewable energy resources; Wind energy; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society 1999 Winter Meeting, IEEE
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-7803-4893-1
  • Type

    conf

  • DOI
    10.1109/PESW.1999.747501
  • Filename
    747501