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dc.contributor.authorBizuayehu, Abebe Workees-ES
dc.contributor.authorFitiwi Zahlay, Destaes-ES
dc.contributor.authorCatalão, João P. S.es-ES
dc.date.accessioned2017-01-26T04:08:54Z-
dc.date.available2017-01-26T04:08:54Z-
dc.date.issued2016-11-14es_ES
dc.identifier.urihttp://hdl.handle.net/11531/16376-
dc.descriptionCapítulos en libroses_ES
dc.description.abstractes-ES
dc.description.abstractThis article presents the impacts of different storage technologies, their size as well as their location on the economic dispatch of a distribution system. The participation of the storage in distribution systems is evaluated over a period of 24 hours using a radial reconfiguration of the network. In order to meet this objective, a stochastic mixed integer linear problem (SMILP) is proposed, where the expected cost during the operation period is minimized. The model considers uncertainties in wind generation, load which is represented through a typical demand profile, conventional generation and storage systems. Results from a case study is presented for a distribution network with 28 buses, comprehensively describing the impacts of the location and the size of the storage system on the distribution network, as well as on the expected operation costs of the system.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.publisherInstitute of Electrical and Electronics Engineers Power and Energy Society (Boston, Estados Unidos de América)es_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceLibro: IEEE Power & Energy Society General Meeting - IEEE PES GM 2016, Página inicial: 1-5, Página final:es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleAdvantages of optimal storage location and size on the economic dispatch in distribution systemses_ES
dc.typeinfo:eu-repo/semantics/bookPartes_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsDistributed generation, distribution system reconfiguration (DSR), storage, stochastic mixed integer linearprogramming (SMILP), wind generation.en-GB
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