The short-term optimal resource allocation approach for electric vehicles and V2G service stations
文献类型：期刊论文
| 作者 | Xu, Jie1,2,3 ; Huang, Yuping1,2,3
|
| 刊名 | APPLIED ENERGY
 |
| 出版日期 | 2022-08-01 |
| 卷号 | 319页码:15 |
| 关键词 | Electric vehicles Vehicle-to-Grid Resource allocation Hybrid clustering MILP |
| ISSN号 | 0306-2619 |
| DOI | 10.1016/j.apenergy.2022.119200 |
| 通讯作者 | Huang, Yuping(huangyp@ms.giec.ac.cn) |
| 英文摘要 | As more electric vehicles (EVs) participate in vehicle-to-grid (V2G) service, the large-scale EV-pile resource allocation problem is becoming a key issue that affects system operation and user participation. EV user preference and decision-making uncertainty can affect V2G scheduling, potentially causing an imbalance between the dispatchable capacities of aggregated EVs and the power required in service stations. To improve the utilization rates of EV batteries and charging/discharging piles, this study proposes a vehicle-pile resource allocation approach based on a two-stage categorical hierarchical scheduling framework to solve the vehicle-pile assignment problem in near real time. It also develops a new hybrid clustering algorithm and a vehicle-pile resource assignment model that considers user preferences and requirements in the upper layer, and operational cost reduction in the lower layer. The effectiveness of the proposed algorithm and model are verified by simulation cases to achieve an 88% actual power matching degree and a 25% cost reduction. Moreover, the credit priority strategy is proposed and designed for the selection of EVs with higher dispatchability to ensure the effective implementation of allocation solutions. |
| WOS关键词 | TECHNOLOGIES |
| 资助项目 | National Key Research and Develop-ment Program of China[2021YFE0112500] |
| WOS研究方向 | Energy & Fuels ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000806861500007 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | National Key Research and Develop-ment Program of China |
| 源URL | [http://ir.giec.ac.cn/handle/344007/36849]  |
| 专题 | 中国科学院广州能源研究所 |
| 通讯作者 | Huang, Yuping |
| 作者单位 | 1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Guangdong Prov Key Lab New & Renewable Energy Res, Guangzhou 510640, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Jie,Huang, Yuping. The short-term optimal resource allocation approach for electric vehicles and V2G service stations[J]. APPLIED ENERGY,2022,319:15. |
| APA | Xu, Jie,&Huang, Yuping.(2022).The short-term optimal resource allocation approach for electric vehicles and V2G service stations.APPLIED ENERGY,319,15. |
| MLA | Xu, Jie,et al."The short-term optimal resource allocation approach for electric vehicles and V2G service stations".APPLIED ENERGY 319(2022):15. |
入库方式： OAI收割
来源：广州能源研究所
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