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

Excessive 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 p...

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Main Authors: Yong J.Y., Ramachandaramurthy V.K., Tan K.M., Arulampalam A., Selvaraj J.
Other Authors: 56119339200
Format: Conference paper
Published: IEEE Computer Society 2023
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spelling my.uniten.dspace-301192023-12-29T15:44:40Z Modeling of electric vehicle fast charging station and impact on network voltage Yong J.Y. Ramachandaramurthy V.K. Tan K.M. Arulampalam A. Selvaraj J. 56119339200 6602912020 56119108600 6603157166 24829896200 battery charger Electric vehicles power distribution power system simulation voltage Charging (batteries) Electric charge Electric network analysis Electric potential Electric power distribution Exhaust systems (engine) Greenhouse gases Internal combustion engines Alternative solutions Battery chargers Detailed modeling Fast charging stations Internal combustion engine vehicles Power distributions Power system simulations Worst case scenario Electric vehicles Excessive 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. Final 2023-12-29T07:44:40Z 2023-12-29T07:44:40Z 2013 Conference paper 10.1109/CEAT.2013.6775664 2-s2.0-84898828231 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898828231&doi=10.1109%2fCEAT.2013.6775664&partnerID=40&md5=fcdb9ee9ae46297df7f75d676f1cfaf7 https://irepository.uniten.edu.my/handle/123456789/30119 6775664 399 404 IEEE Computer Society Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic battery charger
Electric vehicles
power distribution
power system simulation
voltage
Charging (batteries)
Electric charge
Electric network analysis
Electric potential
Electric power distribution
Exhaust systems (engine)
Greenhouse gases
Internal combustion engines
Alternative solutions
Battery chargers
Detailed modeling
Fast charging stations
Internal combustion engine vehicles
Power distributions
Power system simulations
Worst case scenario
Electric vehicles
spellingShingle battery charger
Electric vehicles
power distribution
power system simulation
voltage
Charging (batteries)
Electric charge
Electric network analysis
Electric potential
Electric power distribution
Exhaust systems (engine)
Greenhouse gases
Internal combustion engines
Alternative solutions
Battery chargers
Detailed modeling
Fast charging stations
Internal combustion engine vehicles
Power distributions
Power system simulations
Worst case scenario
Electric vehicles
Yong J.Y.
Ramachandaramurthy V.K.
Tan K.M.
Arulampalam A.
Selvaraj J.
Modeling of electric vehicle fast charging station and impact on network voltage
description Excessive 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.
author2 56119339200
author_facet 56119339200
Yong J.Y.
Ramachandaramurthy V.K.
Tan K.M.
Arulampalam A.
Selvaraj J.
format Conference paper
author Yong J.Y.
Ramachandaramurthy V.K.
Tan K.M.
Arulampalam A.
Selvaraj J.
author_sort Yong J.Y.
title Modeling of electric vehicle fast charging station and impact on network voltage
title_short Modeling of electric vehicle fast charging station and impact on network voltage
title_full Modeling of electric vehicle fast charging station and impact on network voltage
title_fullStr Modeling of electric vehicle fast charging station and impact on network voltage
title_full_unstemmed Modeling of electric vehicle fast charging station and impact on network voltage
title_sort modeling of electric vehicle fast charging station and impact on network voltage
publisher IEEE Computer Society
publishDate 2023
_version_ 1806425643333713920
score 13.188404