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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-10-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023080441 |
| _version_ | 1797646479137964032 |
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| author | Zhendong Chen Aritra Ghosh Neil Stephen A. Lopez |
| author_facet | Zhendong Chen Aritra Ghosh Neil Stephen A. Lopez |
| author_sort | Zhendong Chen |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-11T15:03:12Z |
| format | Article |
| id | doaj.art-e08f78348a92496da3469e3ad79421cd |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-11T15:03:12Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-e08f78348a92496da3469e3ad79421cd2023-10-30T06:07:37ZengElsevierHeliyon2405-84402023-10-01910e20836Optimisation of a standalone photovoltaic electric vehicle charging station using the loss of power supply probabilityZhendong Chen0Aritra Ghosh1Neil Stephen A. Lopez2Faculty of Environment, Science and Economy (ESE), Renewable Energy, Electric and Electronic Engineering, University of Exeter, Penryn TR10 9FE, UKFaculty of Environment, Science and Economy (ESE), Renewable Energy, Electric and Electronic Engineering, University of Exeter, Penryn TR10 9FE, UK; Corresponding author.Department of Mechanical Engineering, De La Salle University, Manila, 0922, PhilippinesThe 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.http://www.sciencedirect.com/science/article/pii/S2405844023080441Electric vehiclesPhotovoltaicsCharging stationLoss of power supply probability (LPSP) |
| spellingShingle | Zhendong Chen Aritra Ghosh Neil Stephen A. Lopez Optimisation of a standalone photovoltaic electric vehicle charging station using the loss of power supply probability Heliyon Electric vehicles Photovoltaics Charging station Loss of power supply probability (LPSP) |
| 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 | Electric vehicles Photovoltaics Charging station Loss of power supply probability (LPSP) |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023080441 |
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