Fast evaluation of electric vehicle hosting capacity considering users’ willingness
The increasing integration of electric vehicles (EVs) has brought attention to the issue of insufficient hosting capacity (HC) in distribution networks (DNs). To enhance the security and optimize the HC of DNs, it is essential to accurately and quickly evaluate EV HC. Traditional methods fail to inc...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2025-09-01
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| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525004946 |
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| _version_ | 1849235996701360128 |
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| author | Jiamin Ge Yi Xiong Liang Che Muliang Cai Ruixiang Fan |
| author_facet | Jiamin Ge Yi Xiong Liang Che Muliang Cai Ruixiang Fan |
| author_sort | Jiamin Ge |
| collection | DOAJ |
| description | The increasing integration of electric vehicles (EVs) has brought attention to the issue of insufficient hosting capacity (HC) in distribution networks (DNs). To enhance the security and optimize the HC of DNs, it is essential to accurately and quickly evaluate EV HC. Traditional methods fail to incorporate EV users’ willingness (UW) and have a large computational burden, leading to inaccurate and time-consuming evaluations. To address these issues, this paper proposes a feasible region (FR)-based EV HC evaluation strategy incorporating UW. Firstly, the EV-related FR of the DN is constructed based on the cutting plane method to accelerate evaluation. Then, EV user types are established by fully considering users’ differences and inter-type and intra-type UWs are quantified. Finally, based on quantified UW, FR-based EV HC evaluation is performed by charging scenario generation. Simulations on the modified IEEE 33-bus system verify that the proposed strategy ensures evaluation accuracy under UW while significantly accelerating the evaluation. |
| format | Article |
| id | doaj-art-236818990e7a447b8a0fd6f1971da45d |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-236818990e7a447b8a0fd6f1971da45d2025-08-20T04:02:31ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-09-0117011094610.1016/j.ijepes.2025.110946Fast evaluation of electric vehicle hosting capacity considering users’ willingnessJiamin Ge0Yi Xiong1Liang Che2Muliang Cai3Ruixiang Fan4College of Electrical and Information Engineering, Hunan University, Changsha, Hunan 410082, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha, Hunan 410082, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha, Hunan 410082, China; Corresponding author.State Grid Jiangxi Electric Power Co. Ltd., Electric Power Research Institute, Nanchang 330096, ChinaState Grid Jiangxi Electric Power Co. Ltd., Nanchang 330096, ChinaThe increasing integration of electric vehicles (EVs) has brought attention to the issue of insufficient hosting capacity (HC) in distribution networks (DNs). To enhance the security and optimize the HC of DNs, it is essential to accurately and quickly evaluate EV HC. Traditional methods fail to incorporate EV users’ willingness (UW) and have a large computational burden, leading to inaccurate and time-consuming evaluations. To address these issues, this paper proposes a feasible region (FR)-based EV HC evaluation strategy incorporating UW. Firstly, the EV-related FR of the DN is constructed based on the cutting plane method to accelerate evaluation. Then, EV user types are established by fully considering users’ differences and inter-type and intra-type UWs are quantified. Finally, based on quantified UW, FR-based EV HC evaluation is performed by charging scenario generation. Simulations on the modified IEEE 33-bus system verify that the proposed strategy ensures evaluation accuracy under UW while significantly accelerating the evaluation.http://www.sciencedirect.com/science/article/pii/S0142061525004946Electrical vehicleHosting capacityUser willingnessFeasible regionDistribution network |
| spellingShingle | Jiamin Ge Yi Xiong Liang Che Muliang Cai Ruixiang Fan Fast evaluation of electric vehicle hosting capacity considering users’ willingness International Journal of Electrical Power & Energy Systems Electrical vehicle Hosting capacity User willingness Feasible region Distribution network |
| title | Fast evaluation of electric vehicle hosting capacity considering users’ willingness |
| title_full | Fast evaluation of electric vehicle hosting capacity considering users’ willingness |
| title_fullStr | Fast evaluation of electric vehicle hosting capacity considering users’ willingness |
| title_full_unstemmed | Fast evaluation of electric vehicle hosting capacity considering users’ willingness |
| title_short | Fast evaluation of electric vehicle hosting capacity considering users’ willingness |
| title_sort | fast evaluation of electric vehicle hosting capacity considering users willingness |
| topic | Electrical vehicle Hosting capacity User willingness Feasible region Distribution network |
| url | http://www.sciencedirect.com/science/article/pii/S0142061525004946 |
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