Analysis of prediction and clustering for uncertainty of EV charging station behavior on V2G platform
The charging behavior of electric vehicles has uncertainty, which leads to uncertainty in the load of the V2G platform. In this paper, a clustering model of charging load at the charging station of the V2G platform containing uncertainty factors is put forward, and analyze the uncertain charging beh...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722016092 |
| _version_ | 1797900669463560192 |
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| author | Xu Wei Zhiling Wang Chao Li Lei Gao Yuqing Zhou Qingguang Yu |
| author_facet | Xu Wei Zhiling Wang Chao Li Lei Gao Yuqing Zhou Qingguang Yu |
| author_sort | Xu Wei |
| collection | DOAJ |
| description | The charging behavior of electric vehicles has uncertainty, which leads to uncertainty in the load of the V2G platform. In this paper, a clustering model of charging load at the charging station of the V2G platform containing uncertainty factors is put forward, and analyze the uncertain charging behavior and charging power characteristics. To ensure the reliability of the uncertainty quantification results, an efficient Latin Hypercube Sampling method is chosen to make the extracted samples comprehensive and homogeneous. The load prediction of electric vehicles charging behavior with uncertainty is carried out by Monte Carlo method. Finally, the typical load data of electric vehicles charging stations in Chongqing V2G platform is used as an example to verify the superiority of the uncertainty charging load clustering and prediction method proposed in this paper. |
| first_indexed | 2024-04-10T08:49:40Z |
| format | Article |
| id | doaj.art-f717e3648b0d4dfbb62090ff1d51d000 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T08:49:40Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-f717e3648b0d4dfbb62090ff1d51d0002023-02-22T04:31:37ZengElsevierEnergy Reports2352-48472022-11-01813441349Analysis of prediction and clustering for uncertainty of EV charging station behavior on V2G platformXu Wei0Zhiling Wang1Chao Li2Lei Gao3Yuqing Zhou4Qingguang Yu5Chongqing Zhiwang Technology Co. LTD, Chongqing 400025, ChinaState Grid Chongqing Shiqu Electric Power Company, Chongqing 400015, ChinaState Grid Chongqing Beibei Electric Power Company, Chongqing 400700, ChinaState Grid Chongqing Beishi Electric Power Company, Chongqing 401147, ChinaState Grid Chongqing Electric Power Company, Chongqing 400014, ChinaTsinghua University, Haidian District, Beijing 100084, China; Corresponding author.The charging behavior of electric vehicles has uncertainty, which leads to uncertainty in the load of the V2G platform. In this paper, a clustering model of charging load at the charging station of the V2G platform containing uncertainty factors is put forward, and analyze the uncertain charging behavior and charging power characteristics. To ensure the reliability of the uncertainty quantification results, an efficient Latin Hypercube Sampling method is chosen to make the extracted samples comprehensive and homogeneous. The load prediction of electric vehicles charging behavior with uncertainty is carried out by Monte Carlo method. Finally, the typical load data of electric vehicles charging stations in Chongqing V2G platform is used as an example to verify the superiority of the uncertainty charging load clustering and prediction method proposed in this paper.http://www.sciencedirect.com/science/article/pii/S2352484722016092Electric vehicle stationUncertainty in charging behaviorLoad clustering algorithmV2G platform |
| spellingShingle | Xu Wei Zhiling Wang Chao Li Lei Gao Yuqing Zhou Qingguang Yu Analysis of prediction and clustering for uncertainty of EV charging station behavior on V2G platform Energy Reports Electric vehicle station Uncertainty in charging behavior Load clustering algorithm V2G platform |
| title | Analysis of prediction and clustering for uncertainty of EV charging station behavior on V2G platform |
| title_full | Analysis of prediction and clustering for uncertainty of EV charging station behavior on V2G platform |
| title_fullStr | Analysis of prediction and clustering for uncertainty of EV charging station behavior on V2G platform |
| title_full_unstemmed | Analysis of prediction and clustering for uncertainty of EV charging station behavior on V2G platform |
| title_short | Analysis of prediction and clustering for uncertainty of EV charging station behavior on V2G platform |
| title_sort | analysis of prediction and clustering for uncertainty of ev charging station behavior on v2g platform |
| topic | Electric vehicle station Uncertainty in charging behavior Load clustering algorithm V2G platform |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722016092 |
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