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
Link To Document :
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