Dynamic Charging of Electric Vehicles Integrating Renewable Energy: A Multi-Objective Optimisation Problem

Humfrey, Harry; Sun, Hongjian; Jiang, Jing

doi:10.1049/iet-stg.2018.0066

Dynamic Charging of Electric Vehicles Integrating Renewable Energy: A Multi-Objective Optimisation Problem

Humfrey, Harry; Sun, Hongjian; Jiang, Jing

Authors

Harry Humfrey

Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor

Jing Jiang

Abstract

Dynamically charging electric vehicles (EVs) have the potential to significantly reduce range anxiety and decrease the size of battery required for acceptable range. However, with the main driver for progressing EV technology being the reduction of carbon emissions, consideration of how a dynamic charging system would impact these emissions is required. This study presents a demand-side management method for allocating resources to charge EVs dynamically considering the integration of local renewable generation. A multi-objective optimisation problem is formulated to consider individual users, an energy retailer and a regulator as players with conflicting interests. A 19% reduction in the energy drawn from the power grid is observed over the course of a 24 h period when compared with a first-come-first-served allocation method. This results in a greater reduction in CO 2 emissions of 22% by considering the power grid's make-up at each time interval. Furthermore, a 42% reduction in CO 2 emissions is achieved compared to a system without local renewable energy integration. By varying the weights assigned to the players’ goals, the method can reduce overall demand at peak times and produce a smoother demand profile. System fairness is shown to improve with an average Gini coefficient reduction of 4.32%.

Citation

Humfrey, H., Sun, H., & Jiang, J. (2019). Dynamic Charging of Electric Vehicles Integrating Renewable Energy: A Multi-Objective Optimisation Problem. IET Smart Grid, 2(2), 250-259. https://doi.org/10.1049/iet-stg.2018.0066

Journal Article Type	Article
Acceptance Date	Feb 21, 2019
Online Publication Date	Feb 21, 2019
Publication Date	Jun 30, 2019
Deposit Date	Feb 21, 2019
Publicly Available Date	Feb 21, 2019
Journal	IET Smart Grid
Print ISSN	2515-2947
Publisher	Institution of Engineering and Technology (IET)
Peer Reviewed	Peer Reviewed
Volume	2
Issue	2
Pages	250-259
DOI	https://doi.org/10.1049/iet-stg.2018.0066

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This is an open access article published by the IET under the Creative Commons Attribution -NonCommercial License (http://creativecommons.org/licenses/by-nc/3.0/)