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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.accessioned2019-02-12T04:10:11Z-
dc.date.available2019-02-12T04:10:11Z-
dc.identifier.urihttp://hdl.handle.net/11531/35246-
dc.description.abstractes-ES
dc.description.abstractThe increasing penetration of distributed energy resources (DERs) is necessitating development of 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 design large-scale, U.S.-style, synthetic distribution systems. Special emphasis is placed on two algorithms that allow multiphase 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.titlePhase selection algorithms to minimize cost and imbalance in U.S. synthetic distribution systemses_ES
dc.typeinfo:eu-repo/semantics/workingPaperes_ES
dc.description.versioninfo:eu-repo/semantics/draftes_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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