Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/100580
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dc.contributorDepartment of Electrical and Electronic Engineeringen_US
dc.creatorZhou, Ben_US
dc.creatorYang, Den_US
dc.creatorBu, Sen_US
dc.creatorDu, Gen_US
dc.creatorLittler, Ten_US
dc.date.accessioned2023-08-11T03:10:44Z-
dc.date.available2023-08-11T03:10:44Z-
dc.identifier.isbn978-1-5386-2212-4 (Electronic)en_US
dc.identifier.isbn978-1-5386-2213-1 (Print on Demand(PoD))en_US
dc.identifier.urihttp://hdl.handle.net/10397/100580-
dc.description2017 IEEE Power & Energy Society General Meeting, 16-20 July 2017, Chicago, IL, USAen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication B. Zhou, D. Yang, S. Bu, G. Du and T. Littler, "The impact of electric vehicle uncertainties on load levelling in the UK," 2017 IEEE Power & Energy Society General Meeting, 2017 is available at https://doi.org/10.1109/PESGM.2017.8274727.en_US
dc.subjectElectric vehicle (EV)en_US
dc.subjectLoad levellingen_US
dc.subjectUncertaintiesen_US
dc.subjectUncertainty analysisen_US
dc.titleThe impact of electric vehicle uncertainties on load levelling in the UKen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1109/PESGM.2017.8274727en_US
dcterms.abstractElectric vehicles (EVs) integration in modern power systems has modified the nature of traditional power demand, which brings uncertainties in the energy consumption end. Such uncertainties may lead to a variety of influences on the performance of EV applications in power systems. This paper focuses on the EV application to load levelling in the UK. Six EV uncertainties are specified to analyze the impact on three parameters, which describe the performance of load levelling. The UK EV and power system data are used in the case study. The simulation results show that the battery sizes, discrete accuracy, and driving behavior have little influence on the load levelling results; a better load levelling result can be obtained with larger EV scales, larger discharging available capacity, and longer available time duration; inappropriate selection of available time duration may worsen the ramps, which bring challenges to conventional generators.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIn Proceedings of 2017 IEEE Power & Energy Society General Meeting, 16-20 July 2017, Chicago, IL, USA, 2017, p. 1-5en_US
dcterms.issued2017-
dc.identifier.scopus2-s2.0-85046344010-
dc.relation.conferencePower & Energy Society General Meetingen_US
dc.description.validate202308 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberEE-0425-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS9614340-
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Conference Paper
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