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Optimal Locations for Electric Vehicle Charging Stations using Flower Pollination Optimization

The deployment of electric vehicles has recently spread to many countries globally. This is due to their environmentally friendly nature and superior features compared to gasoline vehicles. Aside from being environmentally friendly, electric vehicles are also more efficient and have stable prices co...

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Main Authors: Yasin Z.M., Aziz M.A.A., Salim N.A., Aziz N.F.A.
Other Authors: 57211410254
Format: Article
Published: UiTM Press 2023
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spelling my.uniten.dspace-263552023-05-29T17:09:28Z Optimal Locations for Electric Vehicle Charging Stations using Flower Pollination Optimization Yasin Z.M. Aziz M.A.A. Salim N.A. Aziz N.F.A. 57211410254 57200501707 36806685300 57221906825 The deployment of electric vehicles has recently spread to many countries globally. This is due to their environmentally friendly nature and superior features compared to gasoline vehicles. Aside from being environmentally friendly, electric vehicles are also more efficient and have stable prices compared with gasoline vehicles. The increasing number of electric vehicle buyers has increased the demand for charging stations to cater to the need for electric vehicles. Therefore, charging stations should be optimally placed so that any electric vehicle users can conveniently access them. In this paper, the optimal placement of charging stations is proposed while ensuring that they are well distributed in all areas with minimum power and annual energy cost losses. Flower Pollination Optimization (FPO) is implemented in this paper to find the minimum power loss and annual energy cost loss by determining the best locations for the charging stations. FPO is a new technique for optimization which is based on the pollination behaviour of flowers. This behaviour consists of global pollination and local pollination processes. The proposed technique is validated using an IEEE-69 bus distribution test system. The results indicate that the FPO technique can be used to obtain the best location for charging stations with minimum power and annual energy cost losses as compared to other techniques � 2021 College of Engineering, Universiti Teknologi MARA (UiTM), Malaysia Final 2023-05-29T09:09:28Z 2023-05-29T09:09:28Z 2021 Article 2-s2.0-85140793202 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140793202&partnerID=40&md5=1d07b42b4ebef8babc54cd495bff3f6e https://irepository.uniten.edu.my/handle/123456789/26355 10 Special Issue 1 65 76 UiTM Press 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/
description The deployment of electric vehicles has recently spread to many countries globally. This is due to their environmentally friendly nature and superior features compared to gasoline vehicles. Aside from being environmentally friendly, electric vehicles are also more efficient and have stable prices compared with gasoline vehicles. The increasing number of electric vehicle buyers has increased the demand for charging stations to cater to the need for electric vehicles. Therefore, charging stations should be optimally placed so that any electric vehicle users can conveniently access them. In this paper, the optimal placement of charging stations is proposed while ensuring that they are well distributed in all areas with minimum power and annual energy cost losses. Flower Pollination Optimization (FPO) is implemented in this paper to find the minimum power loss and annual energy cost loss by determining the best locations for the charging stations. FPO is a new technique for optimization which is based on the pollination behaviour of flowers. This behaviour consists of global pollination and local pollination processes. The proposed technique is validated using an IEEE-69 bus distribution test system. The results indicate that the FPO technique can be used to obtain the best location for charging stations with minimum power and annual energy cost losses as compared to other techniques � 2021 College of Engineering, Universiti Teknologi MARA (UiTM), Malaysia
author2 57211410254
author_facet 57211410254
Yasin Z.M.
Aziz M.A.A.
Salim N.A.
Aziz N.F.A.
format Article
author Yasin Z.M.
Aziz M.A.A.
Salim N.A.
Aziz N.F.A.
spellingShingle Yasin Z.M.
Aziz M.A.A.
Salim N.A.
Aziz N.F.A.
Optimal Locations for Electric Vehicle Charging Stations using Flower Pollination Optimization
author_sort Yasin Z.M.
title Optimal Locations for Electric Vehicle Charging Stations using Flower Pollination Optimization
title_short Optimal Locations for Electric Vehicle Charging Stations using Flower Pollination Optimization
title_full Optimal Locations for Electric Vehicle Charging Stations using Flower Pollination Optimization
title_fullStr Optimal Locations for Electric Vehicle Charging Stations using Flower Pollination Optimization
title_full_unstemmed Optimal Locations for Electric Vehicle Charging Stations using Flower Pollination Optimization
title_sort optimal locations for electric vehicle charging stations using flower pollination optimization
publisher UiTM Press
publishDate 2023
_version_ 1806427896871387136
score 13.211869

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