Electric vehicles charging management with Monte Carlo simulation

dc.contributor.authorKılıç, Ensar
dc.contributor.authorAkıl, Murat
dc.contributor.authorBayındır, Ramazan
dc.date.accessioned2022-02-17T05:57:26Z
dc.date.available2022-02-17T05:57:26Z
dc.date.issued2021
dc.departmentTeknik Bilimler Meslek Yüksekokulu
dc.description.abstractThe effects of climate change are being felt more and more day by day. Reducing emissions from fossil fuels is among the priority measures to deal with the climate crisis. With the increase in the sales of zero-emission Electric Vehicles (EV), the number of charging stations for the charging needs of EV will also increase. In order to meet the EV charging need, grid must be operated in a stable, efficient and uninterrupted manner. In this paper, the charging power required for EVs at home and in public areas was modeled with Monte Carlo Simulation (MCS) over real data, peak load and total load values were calculated. The results showed that the charging need can be met with lower peak load values in public areas instead of charging at home traditionally.
dc.description.sponsorshipHonda R and D Co., Ltd.Power Electronics in Everything (PEiE)TMEiC
dc.identifier.endpage427en_US
dc.identifier.issue-en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage423en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12451/9189
dc.identifier.volume-en_US
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof10th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2021
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCharging Load
dc.subjectElectric Vehicle (EV)
dc.subjectEnergy Management
dc.subjectMonte Carlo Simulation
dc.titleElectric vehicles charging management with Monte Carlo simulation
dc.typeConference Object

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