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A review of optimal charging strategy for electric vehicles under dynamic pricing schemes in the distribution charging network

Amin, Adil, Tareen, Wajahat Ullah Khan, Usman, Muhammad, Ali, Haider, Bari, Inam, Horan, Ben, Mekhilef, Saad, Asif, Muhammad, Ahmed, Saeed and Mahmood, Anzar 2020, A review of optimal charging strategy for electric vehicles under dynamic pricing schemes in the distribution charging network, Sustainability, vol. 12, no. 23, pp. 1-28, doi: 10.3390/su122310160.

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Title A review of optimal charging strategy for electric vehicles under dynamic pricing schemes in the distribution charging network
Author(s) Amin, Adil
Tareen, Wajahat Ullah Khan
Usman, Muhammad
Ali, Haider
Bari, Inam
Horan, BenORCID iD for Horan, Ben orcid.org/0000-0002-6723-259X
Mekhilef, Saad
Asif, Muhammad
Ahmed, Saeed
Mahmood, Anzar
Journal name Sustainability
Volume number 12
Issue number 23
Article ID 10160
Start page 1
End page 28
Total pages 28
Publisher MDPI
Place of publication Basel, Switzerland
Publication date 2020
ISSN 2071-1050
Keyword(s) Science & Technology
Life Sciences & Biomedicine
Green & Sustainable Science & Technology
Environmental Sciences
Environmental Studies
Science & Technology - Other Topics
Environmental Sciences & Ecology
electric vehicle
distribution network
scheduled charging
optimal operation
dynamic pricing
power grid
Summary 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.
Language eng
DOI 10.3390/su122310160
Indigenous content off
Field of Research 12 Built Environment and Design
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30146828

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.