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Optimisation of a standalone photovoltaic electric vehicle charging station using the loss of power supply probability

The UK is planning to ban the sale of fuel vehicles entirely by 2035 and electric vehicles will be a potential alternative to fuel vehicles. The increase in electric vehicles will increase the charging demand. Standalone charging stations are a potential solution to alleviate the grid challenges of...

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Detalles Bibliográficos
Autores principales: Chen, Zhendong, Ghosh, Aritra, Lopez, Neil Stephen A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585305/
https://www.ncbi.nlm.nih.gov/pubmed/37867817
http://dx.doi.org/10.1016/j.heliyon.2023.e20836
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author Chen, Zhendong
Ghosh, Aritra
Lopez, Neil Stephen A.
author_facet Chen, Zhendong
Ghosh, Aritra
Lopez, Neil Stephen A.
author_sort Chen, Zhendong
collection PubMed
description The UK is planning to ban the sale of fuel vehicles entirely by 2035 and electric vehicles will be a potential alternative to fuel vehicles. The increase in electric vehicles will increase the charging demand. Standalone charging stations are a potential solution to alleviate the grid challenges of increased charging demand. In this work, the authors investigate a reliability analysis of a 2 MW standalone photovoltaic electric vehicle charging station (PVEVCS) using the loss of power supply probability(LPSP). The PVEVCS model consists of a PV system, a battery energy storage system (BESS) and a CS, using the climate data from Camborne, UK and classifying it into high and low irradiation sections. Next, four different charging demand profiles are selected to examine the models’ LPSP. Later, the chosen charging demand profiles are optimised using various combinations of PV systems, BESS and CS. It is concluded that the different solar irradiation had a significant effect on the LPSP. Under the same combination, higher PV capacity has a more positive impact on reducing daytime LPSP, higher BESS capacity has a more significant effect on lowering nighttime LPSP and larger CS capacity has a more significant impact on declining hourly LPSP.
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spelling pubmed-105853052023-10-20 Optimisation of a standalone photovoltaic electric vehicle charging station using the loss of power supply probability Chen, Zhendong Ghosh, Aritra Lopez, Neil Stephen A. Heliyon Research Article The UK is planning to ban the sale of fuel vehicles entirely by 2035 and electric vehicles will be a potential alternative to fuel vehicles. The increase in electric vehicles will increase the charging demand. Standalone charging stations are a potential solution to alleviate the grid challenges of increased charging demand. In this work, the authors investigate a reliability analysis of a 2 MW standalone photovoltaic electric vehicle charging station (PVEVCS) using the loss of power supply probability(LPSP). The PVEVCS model consists of a PV system, a battery energy storage system (BESS) and a CS, using the climate data from Camborne, UK and classifying it into high and low irradiation sections. Next, four different charging demand profiles are selected to examine the models’ LPSP. Later, the chosen charging demand profiles are optimised using various combinations of PV systems, BESS and CS. It is concluded that the different solar irradiation had a significant effect on the LPSP. Under the same combination, higher PV capacity has a more positive impact on reducing daytime LPSP, higher BESS capacity has a more significant effect on lowering nighttime LPSP and larger CS capacity has a more significant impact on declining hourly LPSP. Elsevier 2023-10-10 /pmc/articles/PMC10585305/ /pubmed/37867817 http://dx.doi.org/10.1016/j.heliyon.2023.e20836 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Chen, Zhendong
Ghosh, Aritra
Lopez, Neil Stephen A.
Optimisation of a standalone photovoltaic electric vehicle charging station using the loss of power supply probability
title Optimisation of a standalone photovoltaic electric vehicle charging station using the loss of power supply probability
title_full Optimisation of a standalone photovoltaic electric vehicle charging station using the loss of power supply probability
title_fullStr Optimisation of a standalone photovoltaic electric vehicle charging station using the loss of power supply probability
title_full_unstemmed Optimisation of a standalone photovoltaic electric vehicle charging station using the loss of power supply probability
title_short Optimisation of a standalone photovoltaic electric vehicle charging station using the loss of power supply probability
title_sort optimisation of a standalone photovoltaic electric vehicle charging station using the loss of power supply probability
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585305/
https://www.ncbi.nlm.nih.gov/pubmed/37867817
http://dx.doi.org/10.1016/j.heliyon.2023.e20836
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