Usaola García, Julio2009-09-232009-09-232009Electrical power and energy systems, vol. 31, Issue 9 (Oct. 2009), p. 474-4810142-0615https://hdl.handle.net/10016/5289This 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.text/plainapplication/pdfeng© ElsevierProbabilistic load flowWind generationCumulantsCornish–Fisher expansion seriesresearch articleIngeniería Industrialopen access