Probabilistic load flow with wind production uncertainty using cumulants and Cornish¬タモFisher expansion
نویسنده
چکیده
This paper proposes a method for probabilistic load flow in networks with wind generation, where the uncertainty of the production is non-Gaussian. The method is based on the properties of the cumulants of the probability density functions (PDF) and the Cornish–Fisher expansion, which is more suitable for non-Gaussian PDF than other approaches, such as Gram–Charlier series. The paper includes examples and comparisons between different methods proposed in literature. 2009 Elsevier Ltd. All rights reserved.
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تاریخ انتشار 2016