Journal
IEEE TRANSACTIONS ON POWER SYSTEMS
Volume 26, Issue 2, Pages 965-966Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2010.2073550
Keywords
Energy conversion; power generation reliability; wind power generation
Categories
Funding
- EPSRC [EP/G013616/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/G013616/1] Funding Source: researchfish
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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.
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