Vehicle-to-grid management for multi-time scale grid power balancing
文献类型：期刊论文
| 作者 | Li, Shuangqi1; Gu, Chenghong1; Zeng, Xianwu1; Zhao, Pengfei2; Pei, Xiaoze1; Cheng, Shuang1 |
| 刊名 | ENERGY
 |
| 出版日期 | 2021-11-01 |
| 卷号 | 234页码:9 |
| 关键词 | Electric vehicle Multi-time scale scheduling Vehicle to grid Grid energy storage Peak management Power balancing |
| ISSN号 | 0360-5442 |
| DOI | 10.1016/j.energy.2021.121201 |
| 通讯作者 | Gu, Chenghong(C.Gu@bath.ac.uk) |
| 英文摘要 | The mitigation of peak-valley difference and transient power fluctuation are both of great significance to the economy and stability of the power grid. This paper proposes a novel vehicle-to-grid behavior management method that can provide peak-shaving and fast power balancing service to the grid simultaneously. Firstly, a multi-time scale vehicle-to-grid behavior management framework is designed to enable large-scale optimization and real-time control at the same time in vehicle-to-grid scheduling. Then, the grid peak-shaving requirement is modeled as an optimization problem in a centralized V2G state coordinator, where the charging behavior of all grid-connected electric vehicles can be synergis-tically scheduled. The optimization variable is designed as a group of vehicle-to-grid state control signals that can respond to grid peak-shaving requirements. Further, a V2G power controller is designed to manage the vehicle charging power in real time based on the sampled grid frequency state and discrete state control signals. In the developed scheduling method, the charging power of grid-connected electric vehicles is scheduled by the cooperation between the V2G state coordinator and the power controller. The effectiveness of the proposed methodologies is verified on a microgrid system, and results indicate that the V2G scheduling can achieve multi-time scale grid power balancing. This work can bring dual benefits, enabling system operators to use cheap solutions to manage energy networks and allowing vehicle owners to gain profits from providing V2G services to the grid. (c) 2021 Elsevier Ltd. All rights reserved. |
| WOS关键词 | IN ELECTRIC VEHICLES ; FREQUENCY CONTROL ; CONTROL STRATEGY ; SYSTEMS ; COORDINATION ; OPTIMIZATION ; OPERATION ; DEMAND ; IMPACT |
| WOS研究方向 | Thermodynamics ; Energy & Fuels |
| 语种 | 英语 |
| WOS记录号 | WOS:000692114600009 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.ia.ac.cn/handle/173211/46004]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 |
| 通讯作者 | Gu, Chenghong |
| 作者单位 | 1.Univ Bath, Dept Elect & Elect Engn, Bath, Avon, England 2.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Shuangqi,Gu, Chenghong,Zeng, Xianwu,et al. Vehicle-to-grid management for multi-time scale grid power balancing[J]. ENERGY,2021,234:9. |
| APA | Li, Shuangqi,Gu, Chenghong,Zeng, Xianwu,Zhao, Pengfei,Pei, Xiaoze,&Cheng, Shuang.(2021).Vehicle-to-grid management for multi-time scale grid power balancing.ENERGY,234,9. |
| MLA | Li, Shuangqi,et al."Vehicle-to-grid management for multi-time scale grid power balancing".ENERGY 234(2021):9. |
入库方式： OAI收割
来源：自动化研究所
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