Staff View: Intelligent charging control of power aggregator for electric vehicles using optimal control

Intelligent charging control of power aggregator for electric vehicles using optimal control

Vehicles (EVs) have been shown to be better for the environment since they emit lesser air pollutants compared to fuel-based vehicles. High penetration of EVs in the distribution network contributes to the increment of capital investment in smart grid technologies. This is because EVs' charging...

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Main Authors:	Alkawaz, Ali Najem, Kanesan, Jeevan, Mohd Khairuddin, Anis Salwa, Chow, Chee Onn, Singh, Mandeep
Format:	Article
Published:	Univ Suceava, Fac Electrical Engineering 2021
Subjects:	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.um.edu.my/27966/
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spelling	my.um.eprints.279662022-06-20T07:44:59Z http://eprints.um.edu.my/27966/ Intelligent charging control of power aggregator for electric vehicles using optimal control Alkawaz, Ali Najem Kanesan, Jeevan Mohd Khairuddin, Anis Salwa Chow, Chee Onn Singh, Mandeep QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Vehicles (EVs) have been shown to be better for the environment since they emit lesser air pollutants compared to fuel-based vehicles. High penetration of EVs in the distribution network contributes to the increment of capital investment in smart grid technologies. This is because EVs' charging operation involves a considerably high level of electricity due to the size of EVs' battery charging period. Poor scheduling of EVs charging operation will lead to an increment in electricity consumption. This will then lead to overloading of distribution network, voltage quality degradation, power loss increment, and dispatch of uneconomical energy sources. Hence, coordinated, and smart charging schemes are vital in order to reduce charging costs. This paper proposes an optimized EV battery charging and discharging scheduling model using an ordinary differential equation (ODE) based on three charging scenarios. The daily charging and discharging schedule of EVs are optimized using optimal control. The result shows that the proposed optimized charging and discharging scheduling model reduces the charging cost up to approximately 50%. Univ Suceava, Fac Electrical Engineering 2021-11 Article PeerReviewed Alkawaz, Ali Najem and Kanesan, Jeevan and Mohd Khairuddin, Anis Salwa and Chow, Chee Onn and Singh, Mandeep (2021) Intelligent charging control of power aggregator for electric vehicles using optimal control. Advances in Electrical and Computer Engineering, 21 (4). pp. 21-30. ISSN 1582-7445,
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Alkawaz, Ali Najem Kanesan, Jeevan Mohd Khairuddin, Anis Salwa Chow, Chee Onn Singh, Mandeep Intelligent charging control of power aggregator for electric vehicles using optimal control
description	Vehicles (EVs) have been shown to be better for the environment since they emit lesser air pollutants compared to fuel-based vehicles. High penetration of EVs in the distribution network contributes to the increment of capital investment in smart grid technologies. This is because EVs' charging operation involves a considerably high level of electricity due to the size of EVs' battery charging period. Poor scheduling of EVs charging operation will lead to an increment in electricity consumption. This will then lead to overloading of distribution network, voltage quality degradation, power loss increment, and dispatch of uneconomical energy sources. Hence, coordinated, and smart charging schemes are vital in order to reduce charging costs. This paper proposes an optimized EV battery charging and discharging scheduling model using an ordinary differential equation (ODE) based on three charging scenarios. The daily charging and discharging schedule of EVs are optimized using optimal control. The result shows that the proposed optimized charging and discharging scheduling model reduces the charging cost up to approximately 50%.
format	Article
author	Alkawaz, Ali Najem Kanesan, Jeevan Mohd Khairuddin, Anis Salwa Chow, Chee Onn Singh, Mandeep
author_facet	Alkawaz, Ali Najem Kanesan, Jeevan Mohd Khairuddin, Anis Salwa Chow, Chee Onn Singh, Mandeep
author_sort	Alkawaz, Ali Najem
title	Intelligent charging control of power aggregator for electric vehicles using optimal control
title_short	Intelligent charging control of power aggregator for electric vehicles using optimal control
title_full	Intelligent charging control of power aggregator for electric vehicles using optimal control
title_fullStr	Intelligent charging control of power aggregator for electric vehicles using optimal control
title_full_unstemmed	Intelligent charging control of power aggregator for electric vehicles using optimal control
title_sort	intelligent charging control of power aggregator for electric vehicles using optimal control
publisher	Univ Suceava, Fac Electrical Engineering
publishDate	2021
url	http://eprints.um.edu.my/27966/
_version_	1738510681798344704
score	13.211869

Intelligent charging control of power aggregator for electric vehicles using optimal control

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