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