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Multi-Objective Optimization for Solar-Hydrogen-Battery-Integrated Electric Vehicle Charging Stations with Energy Exchange

Duan, Lijia; Guo, Zekun; Taylor, Gareth; Lai, Chun Sing

Authors

Lijia Duan

Profile image of Zekun Guo

Dr Zekun Guo Z.Guo2@hull.ac.uk
Lecturer in Electrical Engineering, Postgraduate Research Director for DAIM

Gareth Taylor

Chun Sing Lai



Abstract

The importance of electric vehicle charging stations (EVCS) is increasing as electric vehicles (EV) become more widely used. EVCS with multiple low-carbon energy sources can promote sustainable energy development. This paper presents an optimization methodology for direct energy exchange between multi-geographic dispersed EVCSs in London, UK. The charging stations (CSs) incorporate solar panels, hydrogen, battery energy storage systems, and grids to support their operations. EVs are used to allow the energy exchange of charging stations. The objective function of the solar-hydrogen-battery storage electric vehicle charging station (SHS-EVCS) includes the minimization of both capital and operation and maintenance (O&M) costs, as well as the reduction in greenhouse gas emissions. The system constraints encompass the power output limits of individual components and the need to maintain a power balance between the SHS-EVCSs and the EV charging demand. To evaluate and compare the proposed SHS-EVCSs, two multi-objective optimization algorithms, namely the Non-dominated Sorting Genetic Algorithm (NSGA-II) and the Multi-objective Evolutionary Algorithm Based on Decomposition (MOEA/D), are employed. The findings indicate that NSGA-II outperforms MOEA/D in terms of achieving higher-quality solutions. During the optimization process, various factors are considered, including the sizing of solar panels and hydrogen storage tanks, the capacity of electric vehicle chargers, and the volume of energy exchanged between the two stations. The application of the optimized SHS-EVCSs results in substantial cost savings, thereby emphasizing the practical benefits of the proposed approach.

Citation

Duan, L., Guo, Z., Taylor, G., & Lai, C. S. (2023). Multi-Objective Optimization for Solar-Hydrogen-Battery-Integrated Electric Vehicle Charging Stations with Energy Exchange. Electronics, 12(19), Article 4149. https://doi.org/10.3390/electronics12194149

Journal Article Type Article
Acceptance Date Oct 2, 2023
Online Publication Date Oct 5, 2023
Publication Date Oct 1, 2023
Deposit Date Dec 6, 2023
Publicly Available Date Dec 7, 2023
Journal Electronics (Switzerland)
Electronic ISSN 2079-9292
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 12
Issue 19
Article Number 4149
DOI https://doi.org/10.3390/electronics12194149
Keywords Electric vehicle charging station; Solar power; Hydrogen storage; Battery storage; NSGA-II; MOEA/D; Energy exchange
Public URL https://hull-repository.worktribe.com/output/4468719

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0

Copyright Statement
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).




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