A copula model of wind turbine performance

Research output: Contribution to journalArticle

48 Citations (Scopus)

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 paper 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.
LanguageEnglish
Pages965-966
Number of pages2
JournalIEEE Transactions on Power Systems
Volume26
Issue number2
Early online date23 Sep 2010
DOIs
Publication statusPublished - 1 May 2011

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Wind turbines
Probability distributions
Sampling
Uncertainty

Keywords

  • data models
  • energy conversion
  • joints
  • monitoring
  • time series analysis
  • wind power generation
  • wind speed
  • wind turbines
  • power generation reliability

Cite this

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A copula model of wind turbine performance. / Stephen, Bruce; Galloway, Stuart J.; McMillan, David; Hill, David C.; Infield, David G.

In: IEEE Transactions on Power Systems, Vol. 26, No. 2, 01.05.2011, p. 965-966.

Research output: Contribution to journalArticle

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KW - monitoring

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