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Probabilistic load flow with wind production uncertainty using cumulants and Cornish–Fisher expansion

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Eléctricaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Redes y Sistemas de Energía Eléctrica (REDES)es
dc.contributor.authorUsaola García, Julio
dc.date.accessioned2009-09-23T10:43:03Z
dc.date.available2009-09-23T10:43:03Z
dc.date.issued2009
dc.description.abstractThis 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.
dc.description.statusPublicado
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationElectrical power and energy systems, vol. 31, Issue 9 (Oct. 2009), p. 474-481
dc.identifier.issn0142-0615
dc.identifier.urihttps://hdl.handle.net/10016/5289
dc.language.isoeng
dc.publisherElsevier
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.ijepes.2009.02.003
dc.rights© Elsevier
dc.rights.accessRightsopen access
dc.subject.ecienciaIngeniería Industrial
dc.subject.otherProbabilistic load flow
dc.subject.otherWind generation
dc.subject.otherCumulants
dc.subject.otherCornish–Fisher expansion series
dc.titleProbabilistic load flow with wind production uncertainty using cumulants and Cornish–Fisher expansion
dc.typeresearch article*
dc.type.reviewPeerReviewed
dspace.entity.typePublication
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