Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/109613
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dc.contributorDepartment of Electrical and Electronic Engineering-
dc.creatorHungbo, M-
dc.creatorGu, M-
dc.creatorMeegahapola, L-
dc.creatorLittler, T-
dc.creatorBu, S-
dc.date.accessioned2024-11-08T06:10:28Z-
dc.date.available2024-11-08T06:10:28Z-
dc.identifier.urihttp://hdl.handle.net/10397/109613-
dc.language.isoenen_US
dc.publisherThe Institution of Engineering and Technologyen_US
dc.rights© 2023 The Authors. IET Smart Grid published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.en_US
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following publication Hungbo, M., et al.: Impact of electric vehicles on low-voltage residential distribution networks: a probabilistic analysis. IET Smart Grid. 6(5), 536–548 (2023) is available at https://doi.org/10.1049/stg2.12123.en_US
dc.subjectDistribution networken_US
dc.subjectElectric vehicleen_US
dc.subjectElectric vehicle chargingen_US
dc.subjectProbabilistic analysisen_US
dc.subjectSolar power stationsen_US
dc.subjectVehicle-to-grid (V2G)en_US
dc.subjectVolt-varcontrolen_US
dc.subjectVoltage controlen_US
dc.subjectVoltage unbalanceen_US
dc.titleImpact of electric vehicles on low-voltage residential distribution networks : a probabilistic analysisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage536-
dc.identifier.epage548-
dc.identifier.volume6-
dc.identifier.issue5-
dc.identifier.doi10.1049/stg2.12123-
dcterms.abstractThe past two decades have seen a rapid increase in electric vehicles (EVs) for several reasons, such as policy directives to reduce carbon emissions in the transport sector and technology advancements in the EV industry. However, this has increased the load demand on the power grid, especially in the low-voltage (LV) network, as most EVs are charged at EV owner premises. This paper investigates the impact of EVs on the LV residential distribution network using a probabilistic modelling framework. Probability distribution functions for EV charging power are derived using the United Kingdom (UK) EV dataset. The study has investigated multiple EV penetration levels, different probability distribution functions for EV charging representation, vehicle-to-grid (V2G), solar photovoltaic (PV) generation, and the volt-var capability of the solar-PV inverter. The results have shown that as EV penetration increases in the distribution network, there is a significant increase in transformer loading and a decrease in the steady-state voltage levels. V2G has positively impacted the distribution network. A case study carried out on a real LV feeder with solar-PV generation has shown how PV generation and volt-var functionality of the PV inverter help reduce the impact of EV charging and V2G.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIET smart grid, Oct. 2023, v. 6, no. 5, p. 536-548-
dcterms.isPartOfIET smart grid-
dcterms.issued2023-10-
dc.identifier.scopus2-s2.0-85166907968-
dc.identifier.eissn2515-2947-
dc.description.validate202411 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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