Journal
ELECTRIC POWER SYSTEMS RESEARCH
Volume 81, Issue 12, Pages 2139-2146Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2011.08.009
Keywords
Non-parametric density estimation; Probability density function; Wind energy; Planning; Wind farm; Wind speed
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Funding
- Scientific Research Foundation of the State Key Laboratory of Power Transmission Equipment & System Security and New Technology in China [2007DA10512710201, 2007DA10512709202]
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Accurate estimation of long term wind speed probability distribution is a fundamental and challenging task in wind energy planning. This paper proposes a nonparametric kernel density estimation method for wind speed probability distribution, The proposed method is compared with ten conventional parametric distribution models for wind speed that have been presented in literatures so far. The results demonstrate that the proposed non-parametric estimation is more accurate and has better adaptability than any conventional parametric distribution for wind speed. (C) 2011 Elsevier B.V. All rights reserved.
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