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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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battery chargers, electric vehicle, energy consumption, lithium batteries, optimal control
electric(18), vehicles(13), charging(11), control(9), vehicle(8), plug(8), optimal(8), smart(7), grid(7), energy(7)
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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
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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