A multi-level vehicle-to-grid optimal scheduling approach with EV economic dispatching model
文献类型：期刊论文
| 作者 | Guo, Song2,3; Qiu, Zejing2,3; Xiao, Chupeng2,3; Liao, Hui1; Huang, Yuping1; Lei, Ting4; Wu, Dan4; Jiang, Qian4 |
| 刊名 | ENERGY REPORTS
 |
| 出版日期 | 2021-11-01 |
| 卷号 | 7页码:22-37 |
| 关键词 | Electric vehicle V2G operation Multi-level scheduling approach EV economic dispatching Mixed integer nonlinear programming |
| ISSN号 | 2352-4847 |
| DOI | 10.1016/j.egyr.2021.10.058 |
| 通讯作者 | Huang, Yuping(huangyp@ms.giec.ac.cn) |
| 英文摘要 | As electric vehicles (EVs) are eco-friendly and have the feature of flexible power storage, the electric vehicle development is strongly supported by many governments. The market share of EVs has been rising steadily in recent years to promote the long-term growth of the available EV battery resources to participate in vehicle to grid (V2G). When a large number of electric vehicles can connect to grids randomly for charging or discharging, this inevitably brings large load fluctuation in regions and new challenges to the operation scheduling and control of power systems. Therefore, this paper proposed a new multi-level optimal V2G scheduling approach, ensuring the smooth operation and control from the V2G control center to the EV users. This paper also introduced a new EV economic dispatch optimization model to minimize the operating costs of regional V2G systems. A case analysis of the IEEE 33-bus system with 100 EVs verified the feasibility of the proposed model and indicated that the proper size control of total EV battery capacities with ramp adjustment can reduce additional load fluctuations caused by large-scale vehicles to grid. Moreover, the multi-stage TOU pricing mode is another effective measures that can trigger a next round of EV charging and discharging service. (C) 2021 The Authors. Published by Elsevier Ltd. |
| WOS关键词 | ELECTRIC VEHICLES |
| 资助项目 | State Grid Corporation of China under the State Grid Science and Technology Project[5418-201917162A-0-0-00] |
| WOS研究方向 | Energy & Fuels |
| 语种 | 英语 |
| WOS记录号 | WOS:000756699200003 |
| 出版者 | ELSEVIER |
| 资助机构 | State Grid Corporation of China under the State Grid Science and Technology Project |
| 源URL | [http://ir.giec.ac.cn/handle/344007/35839]  |
| 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, Nengyuan Rd 2, Guangzhou 510640, Peoples R China 2.Nari Grp Corp State Grid Elect Power Res Inst, Luoyu Rd 134, Wuhan 430074, Peoples R China 3.Wuhan Efficiency Evaluat Co Ltd, State Grid Elect Power Res Inst, Wuhan 430074, Peoples R China 4.State Grid Shanghai Elect Power Co, Yuanshen Rd 1122, Shanghai 201204, Peoples R China |
| 推荐引用方式 GB/T 7714 | Guo, Song,Qiu, Zejing,Xiao, Chupeng,et al. A multi-level vehicle-to-grid optimal scheduling approach with EV economic dispatching model[J]. ENERGY REPORTS,2021,7:22-37. |
| APA | Guo, Song.,Qiu, Zejing.,Xiao, Chupeng.,Liao, Hui.,Huang, Yuping.,...&Jiang, Qian.(2021).A multi-level vehicle-to-grid optimal scheduling approach with EV economic dispatching model.ENERGY REPORTS,7,22-37. |
| MLA | Guo, Song,et al."A multi-level vehicle-to-grid optimal scheduling approach with EV economic dispatching model".ENERGY REPORTS 7(2021):22-37. |
入库方式： OAI收割
来源：广州能源研究所
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