Publication:
Modeling of electric vehicle fast charging station and impact on network voltage

Simple item page
dc.citedby22
dc.contributor.authorYong J.Y.en_US
dc.contributor.authorRamachandaramurthy V.K.en_US
dc.contributor.authorTan K.M.en_US
dc.contributor.authorArulampalam A.en_US
dc.contributor.authorSelvaraj J.en_US
dc.contributor.authorid56119339200en_US
dc.contributor.authorid6602912020en_US
dc.contributor.authorid56119108600en_US
dc.contributor.authorid6603157166en_US
dc.contributor.authorid24829896200en_US
dc.date.accessioned2023-12-29T07:44:40Z
dc.date.available2023-12-29T07:44:40Z
dc.date.issued2013
dc.description.abstractExcessive greenhouse gas emissions from conventional internal combustion engine vehicles have encouraged governments worldwide to seek for alternative solutions and electric vehicles seems to be a promising replacement. However, the interconnection of high penetration of electric vehicles into the power grid can alter the operation of the existing network. Fast charging mechanism of electric vehicle worsens the situation as this kind of charging drains high power from the power grid, thus stressing the local power grid. This paper presents the impact of 30 fast charging electric vehicles on the power network with two case studies, using PSCAD/EMTDC software. The study is performed for the worst-case scenario, where fully-depleted electric vehicles are connected to the power network during the peak load. This paper also highlights the detailed modeling of DC fast charging station as constant-impedance load. For this specific network, the results show that both the network voltage level of 400 V and 11 kV system go beyond the safe voltage operating limits for 10 and 13 electric vehicles connection, respectively. � 2013 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6775664
dc.identifier.doi10.1109/CEAT.2013.6775664
dc.identifier.epage404
dc.identifier.scopus2-s2.0-84898828231
dc.identifier.spage399
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84898828231&doi=10.1109%2fCEAT.2013.6775664&partnerID=40&md5=fcdb9ee9ae46297df7f75d676f1cfaf7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30119
dc.pagecount5
dc.publisherIEEE Computer Societyen_US
dc.sourceScopus
dc.sourcetitleCEAT 2013 - 2013 IEEE Conference on Clean Energy and Technology
dc.subjectbattery charger
dc.subjectElectric vehicles
dc.subjectpower distribution
dc.subjectpower system simulation
dc.subjectvoltage
dc.subjectCharging (batteries)
dc.subjectElectric charge
dc.subjectElectric network analysis
dc.subjectElectric potential
dc.subjectElectric power distribution
dc.subjectExhaust systems (engine)
dc.subjectGreenhouse gases
dc.subjectInternal combustion engines
dc.subjectAlternative solutions
dc.subjectBattery chargers
dc.subjectDetailed modeling
dc.subjectFast charging stations
dc.subjectInternal combustion engine vehicles
dc.subjectPower distributions
dc.subjectPower system simulations
dc.subjectWorst case scenario
dc.subjectElectric vehicles
dc.titleModeling of electric vehicle fast charging station and impact on network voltageen_US
dc.typeConference paperen_US
dspace.entity.typePublication
Files
Collections
SCOPUS