Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1785122926406664192 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10585305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chenzhendong optimisationofastandalonephotovoltaicelectricvehiclechargingstationusingthelossofpowersupplyprobability AT ghosharitra optimisationofastandalonephotovoltaicelectricvehiclechargingstationusingthelossofpowersupplyprobability AT lopezneilstephena optimisationofastandalonephotovoltaicelectricvehiclechargingstationusingthelossofpowersupplyprobability |