Staff View: Coordinated Electric Vehicle Scheduling Using Time-of-Use Scheme and Priority Charging

Coordinated Electric Vehicle Scheduling Using Time-of-Use Scheme and Priority Charging

This article discuss electric vehicle charging scheduling algorithms to minimize the peak load demand. The charging schedule makes use of a time-of-use system and an optimum method that adjusts the amount of electricity used to charge an electric car depending on its battery's state of charge....

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Main Authors:	Hashim M.S., Yong J.Y., Ramachandaramurthy V.K., Mansor M., Tan K.M., Al Fattah Yahaya J.
Other Authors:	57216688148
Format:	Conference paper
Published:	American Institute of Physics 2025
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id	my.uniten.dspace-36713
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spelling	my.uniten.dspace-367132025-03-03T15:44:06Z Coordinated Electric Vehicle Scheduling Using Time-of-Use Scheme and Priority Charging Hashim M.S. Yong J.Y. Ramachandaramurthy V.K. Mansor M. Tan K.M. Al Fattah Yahaya J. 57216688148 56119339200 6602912020 6701749037 56119108600 58986093500 This article discuss electric vehicle charging scheduling algorithms to minimize the peak load demand. The charging schedule makes use of a time-of-use system and an optimum method that adjusts the amount of electricity used to charge an electric car depending on its battery's state of charge. This study was implemented in a commercial-residential area and considered various constraints to ensure the study practicality. Three scenarios of electric vehicle charging were tested and analyzed. The outcome of the first scenario demonstrated that uncoordinated charging of electric vehicles would cause a new peak in the grid load. For the second scenario, time-of-use scheme was implemented for electric vehicle charging, which was able to reduce peak loads compared to uncoordinated electric vehicle charging. The final scenario demonstrated that the suggested coordinated electric vehicle charging scheduling algorithm successfully reduced uncoordinated charging load by 33% and increased off-peak load by 87.5% while maximizing the charging power of each electric vehicle battery. ? 2024 American Institute of Physics Inc.. All rights reserved. Final 2025-03-03T07:44:06Z 2025-03-03T07:44:06Z 2024 Conference paper 10.1063/5.0190059 2-s2.0-85188329472 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188329472&doi=10.1063%2f5.0190059&partnerID=40&md5=079470782e60d89c739017babce0eb29 https://irepository.uniten.edu.my/handle/123456789/36713 2998 1 40005 All Open Access; Bronze Open Access American Institute of Physics 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	This article discuss electric vehicle charging scheduling algorithms to minimize the peak load demand. The charging schedule makes use of a time-of-use system and an optimum method that adjusts the amount of electricity used to charge an electric car depending on its battery's state of charge. This study was implemented in a commercial-residential area and considered various constraints to ensure the study practicality. Three scenarios of electric vehicle charging were tested and analyzed. The outcome of the first scenario demonstrated that uncoordinated charging of electric vehicles would cause a new peak in the grid load. For the second scenario, time-of-use scheme was implemented for electric vehicle charging, which was able to reduce peak loads compared to uncoordinated electric vehicle charging. The final scenario demonstrated that the suggested coordinated electric vehicle charging scheduling algorithm successfully reduced uncoordinated charging load by 33% and increased off-peak load by 87.5% while maximizing the charging power of each electric vehicle battery. ? 2024 American Institute of Physics Inc.. All rights reserved.
author2	57216688148
author_facet	57216688148 Hashim M.S. Yong J.Y. Ramachandaramurthy V.K. Mansor M. Tan K.M. Al Fattah Yahaya J.
format	Conference paper
author	Hashim M.S. Yong J.Y. Ramachandaramurthy V.K. Mansor M. Tan K.M. Al Fattah Yahaya J.
spellingShingle	Hashim M.S. Yong J.Y. Ramachandaramurthy V.K. Mansor M. Tan K.M. Al Fattah Yahaya J. Coordinated Electric Vehicle Scheduling Using Time-of-Use Scheme and Priority Charging
author_sort	Hashim M.S.
title	Coordinated Electric Vehicle Scheduling Using Time-of-Use Scheme and Priority Charging
title_short	Coordinated Electric Vehicle Scheduling Using Time-of-Use Scheme and Priority Charging
title_full	Coordinated Electric Vehicle Scheduling Using Time-of-Use Scheme and Priority Charging
title_fullStr	Coordinated Electric Vehicle Scheduling Using Time-of-Use Scheme and Priority Charging
title_full_unstemmed	Coordinated Electric Vehicle Scheduling Using Time-of-Use Scheme and Priority Charging
title_sort	coordinated electric vehicle scheduling using time-of-use scheme and priority charging
publisher	American Institute of Physics
publishDate	2025
_version_	1825816281343852544
score	13.244413

Coordinated Electric Vehicle Scheduling Using Time-of-Use Scheme and Priority Charging

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