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dc.contributor.authorPostigo Marcos, Fernando Emilioes-ES
dc.contributor.authorMateo Domingo, Carloses-ES
dc.contributor.authorGómez San Román, Tomáses-ES
dc.contributor.authorCuadra García, Fernandoes-ES
dc.contributor.authorDueñas Martínez, Pabloes-ES
dc.contributor.authorElgindy, Tarekes-ES
dc.contributor.authorHodge, Bri-Mathiases-ES
dc.contributor.authorPalmintier, Bryanes-ES
dc.contributor.authorKrishnan, Venkates-ES
dc.date.accessioned2020-04-02T03:17:52Z
dc.date.available2020-04-02T03:17:52Z
dc.date.issued2020-09-01es_ES
dc.identifier.issn0142-0615es_ES
dc.identifier.uri10.1016j.ijepes.2020.106042es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractThe increasing penetration of distributed energy resources (DERs) has driven a push toward new algorithms and tools for distribution system operation and planning; however, there is a lack of publicly available electrical distribution test systems at the large scale-multi-feeder, multi-substation-which are required for realistically evaluating the performance and scalability of these new developments. This paper presents a Reference Network Model (RNM) aimed to plan large-scale, U.S.-style, synthetic distribution systems. Special emphasis is placed on two algorithms that allow multi-phase feeder design: (1) a method to select the most suitable number of phases for each section considering the connected customers, and (2) a method to assign phases to the users to provide near-balanced phasing while maintaining realistic levels of imbalance. The performance of the developed algorithms is verified by comparing the obtained system designs with the original IEEE 8,500-node test feeder and the Electric Power Research Institute (EPRI) J1 feeder.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceRevista: International Journal of Electrical Power & Energy Systems, Periodo: 1, Volumen: online, Número: , Página inicial: 106042-1, Página final: 106042-9es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titlePhase-selection algorithms to minimize cost and imbalance in U.S. synthetic distribution systemses_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.keywordsPower distribution; System planning; Reference Network Model; Representative networks; Synthetic networks; Phase imbalanceen-GB


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