• DocumentCode
    1331778
  • Title

    A Copula Model of Wind Turbine Performance

  • Author

    Stephen, Bruce ; Galloway, Stuart J. ; McMillan, David ; Hill, David C. ; Infield, David G.

  • Author_Institution
    Adv. Electr. Syst. Res. Group, Univ. of Strathclyde, Glasgow, UK
  • Volume
    26
  • Issue
    2
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    965
  • Lastpage
    966
  • Abstract
    The conventional means of assessing the performance of a wind turbine is through consideration of its power curve which provides the relationship between power output and measured wind speed. In this letter, it is shown how the joint probability distribution of power and wind speed can be learned from data, rather than from examination of the implied function of the two variables. Such an approach incorporates measures of uncertainty into performance estimates, allows inter-plant performance comparison, and could be used to simulate plant operation via sampling. A preliminary model is formulated and fitted to operational data as an illustration.
  • Keywords
    statistical distributions; wind turbines; joint probability distribution; power curve; wind speed; wind turbine performance copula model; Data models; Joints; Monitoring; Time series analysis; Wind power generation; Wind speed; Wind turbines; Energy conversion; power generation reliability; wind power generation;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2010.2073550
  • Filename
    5582226