Publication:
Coordinated Electric Vehicle Scheduling Using Time-of-Use Scheme and Priority Charging

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dc.citedby0
dc.contributor.authorHashim M.S.en_US
dc.contributor.authorYong J.Y.en_US
dc.contributor.authorRamachandaramurthy V.K.en_US
dc.contributor.authorMansor M.en_US
dc.contributor.authorTan K.M.en_US
dc.contributor.authorAl Fattah Yahaya J.en_US
dc.contributor.authorid57216688148en_US
dc.contributor.authorid56119339200en_US
dc.contributor.authorid6602912020en_US
dc.contributor.authorid6701749037en_US
dc.contributor.authorid56119108600en_US
dc.contributor.authorid58986093500en_US
dc.date.accessioned2025-03-03T07:44:06Z
dc.date.available2025-03-03T07:44:06Z
dc.date.issued2024
dc.description.abstractThis article discuss electric vehicle charging scheduling algorithms to minimize the peak load demand. The charging schedule makes use of a time-of-use system and an optimum method that adjusts the amount of electricity used to charge an electric car depending on its battery's state of charge. This study was implemented in a commercial-residential area and considered various constraints to ensure the study practicality. Three scenarios of electric vehicle charging were tested and analyzed. The outcome of the first scenario demonstrated that uncoordinated charging of electric vehicles would cause a new peak in the grid load. For the second scenario, time-of-use scheme was implemented for electric vehicle charging, which was able to reduce peak loads compared to uncoordinated electric vehicle charging. The final scenario demonstrated that the suggested coordinated electric vehicle charging scheduling algorithm successfully reduced uncoordinated charging load by 33% and increased off-peak load by 87.5% while maximizing the charging power of each electric vehicle battery. ? 2024 American Institute of Physics Inc.. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo40005
dc.identifier.doi10.1063/5.0190059
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85188329472
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85188329472&doi=10.1063%2f5.0190059&partnerID=40&md5=079470782e60d89c739017babce0eb29
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36713
dc.identifier.volume2998
dc.publisherAmerican Institute of Physicsen_US
dc.relation.ispartofAll Open Access; Bronze Open Access
dc.sourceScopus
dc.sourcetitleAIP Conference Proceedings
dc.titleCoordinated Electric Vehicle Scheduling Using Time-of-Use Scheme and Priority Chargingen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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