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Review

A Review of Optimal Charging Strategy for Electric Vehicles under Dynamic Pricing Schemes in the Distribution Charging Network

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Department of Electrical Engineering, Mirpur University of Science & Technology, (MUST), AJ&K, Mirpur 10250, Pakistan
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Department of Electrical and Electronic Engineering, College of Engineering, University of Jeddah, Jeddah 21589, Saudi Arabia
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Department of Electrical and Electronic Engineering Technology, University of Technology Nowshera, Nowshera 24100, Pakistan
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Department of System Engineering, Military Technological College, Al Matar Street, Muscat 111, Oman
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School of Engineering, Deakin University, Waurn Ponds, VIC 3216, Australia
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Power Electronics and Renewable Energy Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
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School of Software and Electrical Engineering, Swinburne University of Technology, Hawthorn, Melbourne, VIC 3122, Australia
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Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(23), 10160; https://doi.org/10.3390/su122310160
Received: 10 November 2020 / Revised: 29 November 2020 / Accepted: 30 November 2020 / Published: 4 December 2020
(This article belongs to the Special Issue Feature Papers in Sustainable Transportation Models and Applications)
This study summarizes a critical review on EVs’ optimal charging and scheduling under dynamic pricing schemes. A detailed comparison of these schemes, namely, Real Time Pricing (RTP), Time of Use (ToU), Critical Peak Pricing (CPP), and Peak Time Rebates (PTR), is presented. Globally, the intention is to reduce the carbon emissions (CO2) has motivated the extensive practice of Electric Vehicles (EVs). The uncoordinated charging and uncontrolled integration however of EVs to the distribution network deteriorates the system performance in terms of power quality issues. Therefore, the EVs’ charging activity can be coordinated by dynamic electricity pricing, which can influence the charging activities of the EVs customers by offering flexible pricing at different demands. Recently, with developments in technology and control schemes, the RTP scheme offers more promise compared to the other types of tariff because of the greater flexibility for EVs’ customers to adjust their demands. It however involves higher degree of billing instability, which may influence the customer’s confidence. In addition, the RTP scheme needs a robust intelligent automation system to improve the customer’s feedback to time varying prices. In addition, the review covers the main optimization methods employed in a dynamic pricing environment to achieve objectives such as power loss and electricity cost minimization, peak load reduction, voltage regulation, distribution infrastructure overloading minimization, etc. View Full-Text
Keywords: electric vehicle; distribution network; scheduled charging; optimal operation; dynamic pricing; power grid electric vehicle; distribution network; scheduled charging; optimal operation; dynamic pricing; power grid
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MDPI and ACS Style

Amin, A.; Tareen, W.U.K.; Usman, M.; Ali, H.; Bari, I.; Horan, B.; Mekhilef, S.; Asif, M.; Ahmed, S.; Mahmood, A. A Review of Optimal Charging Strategy for Electric Vehicles under Dynamic Pricing Schemes in the Distribution Charging Network. Sustainability 2020, 12, 10160. https://doi.org/10.3390/su122310160

AMA Style

Amin A, Tareen WUK, Usman M, Ali H, Bari I, Horan B, Mekhilef S, Asif M, Ahmed S, Mahmood A. A Review of Optimal Charging Strategy for Electric Vehicles under Dynamic Pricing Schemes in the Distribution Charging Network. Sustainability. 2020; 12(23):10160. https://doi.org/10.3390/su122310160

Chicago/Turabian Style

Amin, Adil, Wajahat U.K. Tareen, Muhammad Usman, Haider Ali, Inam Bari, Ben Horan, Saad Mekhilef, Muhammad Asif, Saeed Ahmed, and Anzar Mahmood. 2020. "A Review of Optimal Charging Strategy for Electric Vehicles under Dynamic Pricing Schemes in the Distribution Charging Network" Sustainability 12, no. 23: 10160. https://doi.org/10.3390/su122310160

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