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Intelligent Charging Control of Power Aggregator for Electric Vehicles Using Optimal ControlALKAWAZ, A. N.   , KANESAN, J. , MOHD KHAIRUDDIN, A. S. , CHOW, C. O. , SINGH, M. |
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Author keywords
battery chargers, electric vehicle, energy consumption, lithium batteries, optimal control
References keywords
electric(18), vehicles(13), charging(11), control(9), vehicle(8), plug(8), optimal(8), smart(7), grid(7), energy(7)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2021-11-30
Volume 21, Issue 4, Year 2021, On page(s): 21 - 30
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.04003
Web of Science Accession Number: 000725107100003
SCOPUS ID: 85122254802
Abstract
Electric 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%. |
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[1] Day-Ahead Electricity Price Forecasting Based on Hybrid Regression Model, Alkawaz, Ali Najem, Abdellatif, Abdallah, Kanesan, Jeevan, Khairuddin, Anis Salwa Mohd, Gheni, Hassan Muwafaq, IEEE Access, ISSN 2169-3536, Issue , 2022.
Digital Object Identifier: 10.1109/ACCESS.2022.3213081 [CrossRef]
[2] Training Multilayer Neural Network Based on Optimal Control Theory for Limited Computational Resources, Alkawaz, Ali Najem, Kanesan, Jeevan, Khairuddin, Anis Salwa Mohd, Badruddin, Irfan Anjum, Kamangar, Sarfaraz, Hussien, Mohamed, Baig, Maughal Ahmed Ali, Ahammad, N. Ameer, Mathematics, ISSN 2227-7390, Issue 3, Volume 11, 2023.
Digital Object Identifier: 10.3390/math11030778 [CrossRef]
[3] Adaptive Self-Organizing Map Using Optimal Control, Alkawaz, Ali Najem, Kanesan, Jeevan, Badruddin, Irfan Anjum, Kamangar, Sarfaraz, Hussien, Mohamed, Ali Baig, Maughal Ahmed, Ahammad, N. Ameer, Mathematics, ISSN 2227-7390, Issue 9, Volume 11, 2023.
Digital Object Identifier: 10.3390/math11091995 [CrossRef]
[4] Smart and Coordinated Charging Using Ensemble Model for Plug-in Electric Vehicle, Najem, Ali, Abdellatif, Abdallah, Kanesan, Jeevan, Khairuddin, Anis Salwa Mohd, Kairi, Muhammad Izhar, 2023 Innovations in Power and Advanced Computing Technologies (i-PACT), ISBN 979-8-3503-2518-8, 2023.
Digital Object Identifier: 10.1109/i-PACT58649.2023.10434577 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
