A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid

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A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid

Nimalsiri, Nanduni I. / Mediwaththe, Chathurika P. / Ratnam, Elizabeth L. / Shaw, Marnie / Smith, David B. / Halgamuge, Saman K.

Abstract

Electric vehicles (EVs) are an eco-friendly alternative to vehicles with internal combustion engines. Despite their environmental benefits, the massive electricity demand imposed by the anticipated proliferation of EVs could jeopardize the secure and economic operation of the power grid. Hence, proper strategies for charging coordination will be indispensable to the future power grid. Coordinated EV charging schemes can be implemented as centralized, decentralized, and hierarchical systems, with the last two, referred to as distributed charging control systems. This paper reviews the recent literature of distributed charging control schemes, where the computations are distributed across multiple EVs and/or aggregators. First, we categorize optimization problems for EV charging in terms of operational aspects and cost aspects. Then under each category, we provide a comprehensive discussion on algorithms for distributed EV charge scheduling, considering the perspectives of the grid operator, the aggregator, and the EV user. We also discuss how certain algorithms proposed in the literature cope with various uncertainties inherent to distributed EV charging control problems. Finally, we outline several research directions that require further attention.

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Document information

Title :

A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid

Contributors:

Nimalsiri, Nanduni I. (author) / Mediwaththe, Chathurika P. (author) / Ratnam, Elizabeth L. (author) / Shaw, Marnie (author) / Smith, David B. (author) / Halgamuge, Saman K. (author)

Published in:

IEEE Transactions on Intelligent Transportation Systems ; 21 , 11 ; 4497-4515

Publication date :

2020-11-01

Size :

3926793 byte

ISSN :

1524-9050 , 1558-0016

DOI :

https://doi.org/10.1109/TITS.2019.2943620

Type of media :

Article (Journal)