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dc.contributor.authorMateo Domingo, Carloses-ES
dc.contributor.authorFrías Marín, Pabloes-ES
dc.contributor.authorSánchez Miralles, Alvaroes-ES
dc.date.accessioned2016-06-10T03:05:53Z-
dc.date.available2016-06-10T03:05:53Z-
dc.date.issued2016-06-08es_ES
dc.identifier.issn1751-4088es_ES
dc.identifier.urihttps:doi.org10.1504IJEHV.2016.076959es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractThis paper analyses the impact of plug-in electric vehicles (PEVs) on distribution networks. The reference network model (RNM) is used to model the grids and to carry out sensitivity analysis for several scenarios. The set of scenarios selected includes PEV penetration levels, charging strategies and location distributions. Each scenario is characterised in terms of the number of electric vehicles, the vehicles’ class, technical parameters and charging time. Five large-scale real distribution networks are modelled and analysed. The topologies selected are intended to be representative of some typical European distribution networks. Results show that the charging strategies are critical. At least, new multi-tariff schemes should be established to encourage charging at valley hours. Depending on the PEV location distribution, smart charging may also be necessary to reduce the distribution network costs further.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceRevista: International Journal of Electric and Hybrid Vehicles, Periodo: 1, Volumen: online, Número: 1, Página inicial: 1, Página final: 18es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleDistribution planning with hourly profiles for analysing electric vehicle charging strategieses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordselectric vehicles; power system; distribution; smart charging; load management; power system planning; model; reinforcements; impact; assessment; hourly profiles; sensitivity; scenarios; large-scale.en-GB
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