Flexibility estimation of electric vehicles and its impact on the future power grid
Electric vehicles offer environmental benefits but pose challenges to power grids during peak demand. This study introduces a method to optimize electric vehicle charging and incorporate vehicle-to-grid technology, aiming to minimize electricity costs and electric vehicle loads during peak periods....
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061524006598 |
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| author | Jiexiang Wu Li Li Jiangfeng Zhang Boyi Xiao |
| author_facet | Jiexiang Wu Li Li Jiangfeng Zhang Boyi Xiao |
| author_sort | Jiexiang Wu |
| collection | DOAJ |
| description | Electric vehicles offer environmental benefits but pose challenges to power grids during peak demand. This study introduces a method to optimize electric vehicle charging and incorporate vehicle-to-grid technology, aiming to minimize electricity costs and electric vehicle loads during peak periods. Two models are developed to evaluate electric vehicle owners’ willingness to participate in both non-vehicle-to-grid and vehicle-to-grid scenarios, providing insights into future peak demand increases and potential reductions through optimization.A case study in Texas, USA, utilizing data from the Pecan Street database, reveals that by 2030, the increase in peak electric vehicle charging demand could exceed the current levels by over 4.7 times. This surge is up to 3.16% of the total electricity demand in Texas. However, with the implementation of the proposed optimization methods, electric vehicles could potentially feed about 747 MWh of energy back into the grid, effectively transforming them from energy consumers to suppliers during high-demand periods. This demonstrates the crucial role that electric vehicles, coupled with strategic charging and vehicle-to-grid technologies, can play in not only mitigating emissions but also in enhancing grid stability and efficiency. |
| format | Article |
| id | doaj-art-05c9c57395b4412b88a8684e25f7efcb |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-05c9c57395b4412b88a8684e25f7efcb2025-01-19T06:24:02ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-03-01164110435Flexibility estimation of electric vehicles and its impact on the future power gridJiexiang Wu0Li Li1Jiangfeng Zhang2Boyi Xiao3School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, 2007, NSW, AustraliaSchool of Electrical and Data Engineering, University of Technology Sydney, Ultimo, 2007, NSW, Australia; Corresponding author.Department of Automotive Engineering, Clemson University, Greenville, 29607, SC, USACollege of Engineering, South China Agricultural University, Guangzhou, 510640, Guangdong, ChinaElectric vehicles offer environmental benefits but pose challenges to power grids during peak demand. This study introduces a method to optimize electric vehicle charging and incorporate vehicle-to-grid technology, aiming to minimize electricity costs and electric vehicle loads during peak periods. Two models are developed to evaluate electric vehicle owners’ willingness to participate in both non-vehicle-to-grid and vehicle-to-grid scenarios, providing insights into future peak demand increases and potential reductions through optimization.A case study in Texas, USA, utilizing data from the Pecan Street database, reveals that by 2030, the increase in peak electric vehicle charging demand could exceed the current levels by over 4.7 times. This surge is up to 3.16% of the total electricity demand in Texas. However, with the implementation of the proposed optimization methods, electric vehicles could potentially feed about 747 MWh of energy back into the grid, effectively transforming them from energy consumers to suppliers during high-demand periods. This demonstrates the crucial role that electric vehicles, coupled with strategic charging and vehicle-to-grid technologies, can play in not only mitigating emissions but also in enhancing grid stability and efficiency.http://www.sciencedirect.com/science/article/pii/S0142061524006598Electric vehicleDemand responsePeak demandVehicle-to-grid |
| spellingShingle | Jiexiang Wu Li Li Jiangfeng Zhang Boyi Xiao Flexibility estimation of electric vehicles and its impact on the future power grid International Journal of Electrical Power & Energy Systems Electric vehicle Demand response Peak demand Vehicle-to-grid |
| title | Flexibility estimation of electric vehicles and its impact on the future power grid |
| title_full | Flexibility estimation of electric vehicles and its impact on the future power grid |
| title_fullStr | Flexibility estimation of electric vehicles and its impact on the future power grid |
| title_full_unstemmed | Flexibility estimation of electric vehicles and its impact on the future power grid |
| title_short | Flexibility estimation of electric vehicles and its impact on the future power grid |
| title_sort | flexibility estimation of electric vehicles and its impact on the future power grid |
| topic | Electric vehicle Demand response Peak demand Vehicle-to-grid |
| url | http://www.sciencedirect.com/science/article/pii/S0142061524006598 |
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