Article ID Journal Published Year Pages File Type
704827 Electric Power Systems Research 2010 9 Pages PDF
Abstract

The non-dispatchable nature of wind generation implies that system operation depends on wind power prediction programs that forecast wind farms production with high levels of uncertainty. This means that probabilistic power analysis tools become more and more necessary in systems with high wind penetration. Probabilistic load flow becomes especially difficult when wind generation is considered. The high uncertainty of the production, the non-Gaussian probability density function (PDF) and the clear dependence among the wind farms poses a challenge for conventional tools. The paper proposes an approximation that makes use of the properties of statistical moments and Cornish–Fisher expansion to tackle these new problems.

Related Topics
Physical Sciences and Engineering Energy Energy Engineering and Power Technology
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