Publication: Probabilistic load flow in systems with wind generation
dc.affiliation.dpto | UC3M. Departamento de IngenierĂa ElĂ©ctrica | es |
dc.affiliation.grupoinv | UC3M. Grupo de InvestigaciĂłn: Redes y Sistemas de EnergĂa ElĂ©ctrica (REDES) | es |
dc.contributor.author | Usaola GarcĂa, Julio | |
dc.date.accessioned | 2010-06-24T14:30:46Z | |
dc.date.available | 2010-06-24T14:30:46Z | |
dc.date.issued | 2009-12 | |
dc.description.abstract | A method for solving a probabilistic power flow that deals with the uncertainties of (i) wind generation, (ii) load and (iii) generation availability in power systems is proposed. Dependence between random variables has been considered. The method is based on the properties of cumulants of random variables. Cornish-Fisher expansion series are used to obtain the cumulative distribution function (CDF) of the output variables. Multimodal CDF are obtained by convolutions, whose number has been minimised in order to decrease the computation requirements. | |
dc.description.status | Publicado | |
dc.format.mimetype | application/pdf | |
dc.identifier.bibliographicCitation | IET Generation, Transmission & Distribution, Dec. 2009, vol.3, n.12, pp. 1031-41. | |
dc.identifier.doi | 10.1049/iet-gtd.2009.0039 | |
dc.identifier.issn | 1751-8695 | |
dc.identifier.uri | https://hdl.handle.net/10016/8971 | |
dc.language.iso | eng | |
dc.publisher | The Institution of Engineering and Technology | |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5345665 | |
dc.relation.publisherversion | http://dx.doi.org/10.1049/iet-gtd.2009.0039 | |
dc.rights | © The Institution of Engineering and Technology 2009 | |
dc.rights.accessRights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | |
dc.subject.eciencia | IngenierĂa Industrial | |
dc.subject.other | Probabilistic load flow | |
dc.subject.other | wind energy | |
dc.subject.other | Cornish Fisher expansion series | |
dc.title | Probabilistic load flow in systems with wind generation | |
dc.type | research article | * |
dc.type.review | PeerReviewed | |
dspace.entity.type | Publication |
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