Modeling of Electric Vehicle Charging Demand and Coincidence of Large-Scale Charging Loads in Different Charging Locations

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorJokinen, Ilkkaen_US
dc.contributor.authorLehtonen, Mattien_US
dc.contributor.departmentDepartment of Electrical Engineering and Automationen
dc.contributor.groupauthorPower Systems and High Voltage Engineeringen
dc.contributor.organizationDepartment of Electrical Engineering and Automationen_US
dc.date.accessioned2023-11-08T06:29:59Z
dc.date.available2023-11-08T06:29:59Z
dc.date.issued2023en_US
dc.descriptionPublisher Copyright: © 2013 IEEE.
dc.description.abstractBattery electric vehicles (BEVs) are becoming more widespread and consequently the charging load from vehicles is rapidly increasing. For energy system and grid planning, the magnitude and coincidence of these charging loads are crucial parameters. Furthermore, to determine the charging power demand in different charging locations, the coincidence of charging in them must be examined. Thus, in this study, the coincidence factors of charging loads in different charging locations were analyzed for a large-scale BEV fleet, considering available charging power and ambient temperature. In addition, the mean charging load, deviation of load, and flexibility potential within charging events, were examined based on the same parameters. The coincidence factors of charging increased with lower available charging power and lower ambient temperature. By location type, the highest factors were at work, at hotel, and at home, but overall, the coincidence of charging remained low for a large-scale BEV fleet. Moreover, the relative standard deviation of a composite load for a large number of BEVs was low, whereas the opposite was found for a small number of BEVs. The modeling of the charging loads in this study was based on activity-travel schedules from travel survey data, from which 12773 respondents with 40321 trips were included.en
dc.description.versionPeer revieweden
dc.format.extent25
dc.format.extent114291-114315
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationJokinen, I & Lehtonen, M 2023, ' Modeling of Electric Vehicle Charging Demand and Coincidence of Large-Scale Charging Loads in Different Charging Locations ', IEEE Access, vol. 11, pp. 114291-114315 . https://doi.org/10.1109/ACCESS.2023.3322278en
dc.identifier.doi10.1109/ACCESS.2023.3322278en_US
dc.identifier.issn2169-3536
dc.identifier.otherPURE UUID: f12f9cf1-8c99-492b-b2c6-9440bdfd08c7en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/f12f9cf1-8c99-492b-b2c6-9440bdfd08c7en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85174858016&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/127159507/Modeling_of_Electric_Vehicle_Charging_Demand_and_Coincidence_of_Large-Scale_Charging_Loads_in_Different_Charging_Locations.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/124436
dc.identifier.urnURN:NBN:fi:aalto-202311086797
dc.language.isoenen
dc.publisherIEEE
dc.relation.ispartofseriesIEEE Accessen
dc.relation.ispartofseriesVolume 11en
dc.rightsopenAccessen
dc.subject.keywordCharging loaden_US
dc.subject.keywordcoincidence factoren_US
dc.subject.keywordelectric vehicleen_US
dc.subject.keywordload deviationen_US
dc.titleModeling of Electric Vehicle Charging Demand and Coincidence of Large-Scale Charging Loads in Different Charging Locationsen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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