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dc.contributor.authorLumbreras Sancho, Saraes-ES
dc.contributor.authorRamos Galán, Andréses-ES
dc.contributor.authorCerisola Lopez De Haro, Santiagoes-ES
dc.date.accessioned2016-01-15T11:16:24Z
dc.date.available2016-01-15T11:16:24Z
dc.date.issued01/05/2013es_ES
dc.identifier.issn0885-8950es_ES
dc.identifier.urihttp://hdl.handle.net/11531/4989
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractReliability is a key objective in many optimal design problems. Very often this criterion is incorporated into stochastic optimization problems by introducing contingency evaluation scenarios. This results in a special problem structure where the stochastic scenarios used to describe reliability are linked to the failure of specific individual elements. This paper presents a progressive contingency incorporation (PCI) approach that takes advantage of this structure to increase efficiency. The algorithm is applied to the design of an offshore wind farm, where the electrical layout is decided, as representative of the possible advantages of PCI within power systems. The problem must determine the placement and type of cables in a collector system. Results show that time savings achieved by the PCI approach can be remarkable, reaching two orders of magnitude for the case study.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceRevista: IEEE Transactions on Power Systems, Periodo: 1, Volumen: 28, Número: 2, Página inicial: 1452, Página final: 1460es_ES
dc.titleA progressive contingency incorporation approach for stochastic optimization problemses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsCircuit optimization, linear programming, power system reliability.en-GB


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