Evolutionary programming based technique for plug-in-hybrid electric vehicle charging system

In the era of millennium, the electric vehicle (EV) has a high demand from many sector which is to replace the existing internal combustion vehicle since it has given a negative side impacts towards the environment and also due to the increasing of the price of the fossil fuels that decreasing day b...

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Main Authors: Ahmad J., Musirin I., Zamani M.K.M., Mustaffa S.A.S., Aminuddin N., Shaaya S.A., Suyono H.
Other Authors: 57211488284
Format: Article
Published: World Academy of Research in Science and Engineering 2023
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spelling my.uniten.dspace-249262023-05-29T15:28:58Z Evolutionary programming based technique for plug-in-hybrid electric vehicle charging system Ahmad J. Musirin I. Zamani M.K.M. Mustaffa S.A.S. Aminuddin N. Shaaya S.A. Suyono H. 57211488284 8620004100 57193428895 57189288788 57211493660 16022846200 6701364976 In the era of millennium, the electric vehicle (EV) has a high demand from many sector which is to replace the existing internal combustion vehicle since it has given a negative side impacts towards the environment and also due to the increasing of the price of the fossil fuels that decreasing day by day. The electric vehicle is one of the alternative way to reduce pollution by moving the electric vehicle by using the energy that stored in the battery�s car and after the battery has reach its limit, only then the petroleum will continue the role of the energy to move the electric vehicle. The energy that required by the battery�s car are generated from the charging station which it connected to the distribution network. The charging or discharging of the electric vehicle could cause some power quality issues in a few terms such as voltage profile, power losses etc. This paper presents the Evolutionary Programming Based Technique for Plug-In-Hybrid Electric Vehicle Charging System. The proposal technique has been tested on the IEEE 33-bus distribution system. The results shown that the proposed technique managed to maximize the voltage level in the system in the plug-in-hybrid electric vehicle charging system environment. � 2019, World Academy of Research in Science and Engineering. All rights reserved. Final 2023-05-29T07:28:58Z 2023-05-29T07:28:58Z 2019 Article 10.30534/ijatcse/2019/7381.32019 2-s2.0-85074147581 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074147581&doi=10.30534%2fijatcse%2f2019%2f7381.32019&partnerID=40&md5=381d60d785a3934dd122cb8fa0edd9f1 https://irepository.uniten.edu.my/handle/123456789/24926 8 1.3 S1 73 425 430 All Open Access, Bronze World Academy of Research in Science and Engineering Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
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country Malaysia
content_provider Universiti Tenaga Nasional
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description In the era of millennium, the electric vehicle (EV) has a high demand from many sector which is to replace the existing internal combustion vehicle since it has given a negative side impacts towards the environment and also due to the increasing of the price of the fossil fuels that decreasing day by day. The electric vehicle is one of the alternative way to reduce pollution by moving the electric vehicle by using the energy that stored in the battery�s car and after the battery has reach its limit, only then the petroleum will continue the role of the energy to move the electric vehicle. The energy that required by the battery�s car are generated from the charging station which it connected to the distribution network. The charging or discharging of the electric vehicle could cause some power quality issues in a few terms such as voltage profile, power losses etc. This paper presents the Evolutionary Programming Based Technique for Plug-In-Hybrid Electric Vehicle Charging System. The proposal technique has been tested on the IEEE 33-bus distribution system. The results shown that the proposed technique managed to maximize the voltage level in the system in the plug-in-hybrid electric vehicle charging system environment. � 2019, World Academy of Research in Science and Engineering. All rights reserved.
author2 57211488284
author_facet 57211488284
Ahmad J.
Musirin I.
Zamani M.K.M.
Mustaffa S.A.S.
Aminuddin N.
Shaaya S.A.
Suyono H.
format Article
author Ahmad J.
Musirin I.
Zamani M.K.M.
Mustaffa S.A.S.
Aminuddin N.
Shaaya S.A.
Suyono H.
spellingShingle Ahmad J.
Musirin I.
Zamani M.K.M.
Mustaffa S.A.S.
Aminuddin N.
Shaaya S.A.
Suyono H.
Evolutionary programming based technique for plug-in-hybrid electric vehicle charging system
author_sort Ahmad J.
title Evolutionary programming based technique for plug-in-hybrid electric vehicle charging system
title_short Evolutionary programming based technique for plug-in-hybrid electric vehicle charging system
title_full Evolutionary programming based technique for plug-in-hybrid electric vehicle charging system
title_fullStr Evolutionary programming based technique for plug-in-hybrid electric vehicle charging system
title_full_unstemmed Evolutionary programming based technique for plug-in-hybrid electric vehicle charging system
title_sort evolutionary programming based technique for plug-in-hybrid electric vehicle charging system
publisher World Academy of Research in Science and Engineering
publishDate 2023
_version_ 1806423400058454016
score 13.214268