Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/28674
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dc.contributor.authorDuan, L-
dc.contributor.authorLai, CS-
dc.contributor.authorTaylor, G-
dc.contributor.authorZhang, X-
dc.date.accessioned2024-04-02T16:27:11Z-
dc.date.available2024-04-02T16:27:11Z-
dc.date.issued2023-08-30-
dc.identifierORCiD: Chun Sing Lai https://orcid.org/0000-0002-4169-4438-
dc.identifierORCiD: Gareth Taylor https://orcid.org/0000-0003-0867-2365-
dc.identifier.citationDuan, 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.en_US
dc.identifier.isbn979-8-3503-1683-4 (ebk)-
dc.identifier.isbn979-8-3503-1684-1 (PoD)-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/28674-
dc.description.abstractThis 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.en_US
dc.format.extent1 - 6-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2023 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. See https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ for more information.-
dc.rights.urihttps://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/-
dc.subjectelectric vehicle chargingen_US
dc.subjectphotovoltaicen_US
dc.subjecthydrogen storage systemen_US
dc.subjectbattery storage systemen_US
dc.subjectenergy exchangeen_US
dc.subjectgenetic algorithmen_US
dc.titleOptimal Energy Exchange of Two Electric Vehicle Charging Stations with Solar-Hydrogen-Battery Storage Systemsen_US
dc.typeConference Paperen_US
dc.identifier.doihttps://doi.org/10.1109/UPEC57427.2023.10294629-
dc.relation.isPartOf58th International Universities Power Engineering Conference, UPEC 2023-
pubs.publication-statusPublished-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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