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Title: A mean field game theoretic approach to electric vehicles charging
Authors: Zhu, Ziming
Lambotharan, Sangarapillai
Chin, Woon Hau
Fan, Zhong
Keywords: EV consumption management
Optimal charging
Stochastic optimisation
Mean field game
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: ZHU, Z. ... et al., 2016. A mean field game theoretic approach to electric vehicles charging. IEEE Access, 4, pp. 3501 - 3510.
Abstract: Electric vehicles (EVs) provide environmentally friendly transport and they are considered to be an important component of distributed and mobile electric energy storage and supply system. It is possible that EVs can be used to store and transport energy from one geographical area to another as a supportive energy supply. Electricity consumption management should consider carefully the inclusion of EVs. One critical challenge in the consumption management for EVs is the optimization of battery charging. This paper provides a dynamic game theoretic optimization framework to formulate the optimal charging problem. The optimization considers a charging scenario where a large number of EVs charge simultaneously during a flexible period of time. Based on stochastic mean field game theory, the optimization will provide an optimal charging strategy for the EVs to proactively control their charging speed in order to minimize the cost of charging. Numerical results are presented to demonstrate the performance of the proposed framework.
Description: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Sponsor: This work was supported by the U.K. Engineering and Physical Science Research Council, under Grant EP/M015475, and a funding from the SUNSEED Project, an European Commission’s 7th Framework Programme under Grant Agreement number 619437.
Version: Accepted
DOI: 10.1109/ACCESS.2016.2581989
URI: https://dspace.lboro.ac.uk/2134/22251
Publisher Link: http://dx.doi.org/10.1109/ACCESS.2016.2581989
ISSN: 2169-3536
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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