表紙画像

Optimal charging schedule of electric vehicles using evolutionary programming to minimise costs / Hasmaini Mohamad ... [et al.]

Electric vehicle technology presents new opportunities to the transportation sector and car manufacturers worldwide. However, this development is becoming a concern to utility operators when a large number of electric vehicles are charged simultaneously, which overloading might occur, especially dur...

詳細記述

保存先:
書誌詳細
主要な著者: Mohamad, Hasmaini, Md Razali, Norhasniza, Abidin, Ahmad Farid, Salim, Nur Ashida, Mat Yasin, Zuhaila
フォーマット: Conference or Workshop Item
言語:English
出版事項: 2021
主題:
Technological change
Technological innovations
オンライン･アクセス:https://ir.uitm.edu.my/id/eprint/56862/1/56862.pdf
https://ir.uitm.edu.my/id/eprint/56862/
https://ispike2021.uitm.edu.my/
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
id my.uitm.ir.56862
record_format eprints
spelling my.uitm.ir.568622022-12-06T00:59:26Z https://ir.uitm.edu.my/id/eprint/56862/ Optimal charging schedule of electric vehicles using evolutionary programming to minimise costs / Hasmaini Mohamad ... [et al.] Mohamad, Hasmaini Md Razali, Norhasniza Abidin, Ahmad Farid Salim, Nur Ashida Mat Yasin, Zuhaila Technological change Technological innovations Electric vehicle technology presents new opportunities to the transportation sector and car manufacturers worldwide. However, this development is becoming a concern to utility operators when a large number of electric vehicles are charged simultaneously, which overloading might occur, especially during peak hours. This condition can affect the stability of the grid. Since electric vehicles are considered as an additional load to the power grid, a suitable charging coordination must be presented in order to optimize grid operation. This study implemented an electric vehicle charging schedule on an IEEE 33-bus residential network using evolutionary programming for optimization. Some constraints, such as power and voltage limits of the grid were taken into consideration to ensure the efficacy of the proposed optimal charging strategy. Simulation results showed the comparison between uncoordinated and coordinated charging schemes in terms of daily load curve and EV operating costs. Three case studies were analysed for coordinated charging based on different charging periods. Electric vehicle charging rate is varied in order to determine the minimum operational costs. 2021 Conference or Workshop Item PeerReviewed text en https://ir.uitm.edu.my/id/eprint/56862/1/56862.pdf Optimal charging schedule of electric vehicles using evolutionary programming to minimise costs / Hasmaini Mohamad ... [et al.]. (2021) In: International Exhibition & Symposium on Productivity, Innovation, Knowledge, Education & Design (i-SPiKe 2021). (Submitted) https://ispike2021.uitm.edu.my/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Technological change
Technological innovations
spellingShingle Technological change
Technological innovations
Mohamad, Hasmaini
Md Razali, Norhasniza
Abidin, Ahmad Farid
Salim, Nur Ashida
Mat Yasin, Zuhaila
Optimal charging schedule of electric vehicles using evolutionary programming to minimise costs / Hasmaini Mohamad ... [et al.]
description Electric vehicle technology presents new opportunities to the transportation sector and car manufacturers worldwide. However, this development is becoming a concern to utility operators when a large number of electric vehicles are charged simultaneously, which overloading might occur, especially during peak hours. This condition can affect the stability of the grid. Since electric vehicles are considered as an additional load to the power grid, a suitable charging coordination must be presented in order to optimize grid operation. This study implemented an electric vehicle charging schedule on an IEEE 33-bus residential network using evolutionary programming for optimization. Some constraints, such as power and voltage limits of the grid were taken into consideration to ensure the efficacy of the proposed optimal charging strategy. Simulation results showed the comparison between uncoordinated and coordinated charging schemes in terms of daily load curve and EV operating costs. Three case studies were analysed for coordinated charging based on different charging periods. Electric vehicle charging rate is varied in order to determine the minimum operational costs.
format Conference or Workshop Item
author Mohamad, Hasmaini
Md Razali, Norhasniza
Abidin, Ahmad Farid
Salim, Nur Ashida
Mat Yasin, Zuhaila
author_facet Mohamad, Hasmaini
Md Razali, Norhasniza
Abidin, Ahmad Farid
Salim, Nur Ashida
Mat Yasin, Zuhaila
author_sort Mohamad, Hasmaini
title Optimal charging schedule of electric vehicles using evolutionary programming to minimise costs / Hasmaini Mohamad ... [et al.]
title_short Optimal charging schedule of electric vehicles using evolutionary programming to minimise costs / Hasmaini Mohamad ... [et al.]
title_full Optimal charging schedule of electric vehicles using evolutionary programming to minimise costs / Hasmaini Mohamad ... [et al.]
title_fullStr Optimal charging schedule of electric vehicles using evolutionary programming to minimise costs / Hasmaini Mohamad ... [et al.]
title_full_unstemmed Optimal charging schedule of electric vehicles using evolutionary programming to minimise costs / Hasmaini Mohamad ... [et al.]
title_sort optimal charging schedule of electric vehicles using evolutionary programming to minimise costs / hasmaini mohamad ... [et al.]
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/56862/1/56862.pdf
https://ir.uitm.edu.my/id/eprint/56862/
https://ispike2021.uitm.edu.my/
_version_ 1751539858142134272
score 13.250246

類似資料