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Title: Optimal Energy Exchange of Two Electric Vehicle Charging Stations with Solar-Hydrogen-Battery Storage Systems
Authors: Duan, L
Lai, CS
Taylor, G
Zhang, X
Keywords: electric vehicle charging;photovoltaic;hydrogen storage system;battery storage system;energy exchange;genetic algorithm
Issue Date: 30-Aug-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Duan, L. et al. (2023) 'Optimal Energy Exchange of Two Electric Vehicle Charging Stations with Solar-Hydrogen-Battery Storage Systems', 58th International Universities Power Engineering Conference, UPEC 2023, Dublin, Ireland, 30 August - 01 September, pp. 1 - 6. doi: 10.1109/UPEC57427.2023.10294629.
Abstract: This paper presents an optimisation method for the direct energy exchange between two electric vehicle (EV) charging stations located in the UK. Each EV charging station consists of solar panels, hydrogen and battery energy storage systems (SHBS). The stations are interconnected through a energy exchange system that enables the transfer of excess energy from one station to the other. The objective function of SHBS charging stations is to minimize the capital and operation and maintenance costs of the stations. The system constraints are the power output of individual components, as well as the power balance between SHBS charging stations and EV charging demand. Genetic Algorithm is used to optimize the system, considering various factors such as the size of the solar panels and hydrogen storage tanks, the capacity of the electric vehicle chargers, and the amount of energy exchanged between the two stations. The optimized system yields substantial cost savings.
ISBN: 979-8-3503-1683-4 (ebk)
979-8-3503-1684-1 (PoD)
Other Identifiers: ORCiD: Chun Sing Lai
ORCiD: Gareth Taylor
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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