Online battery-protective vehicle to grid behavior management
Li, Shuangqi1,2; Zhao, Pengfei3; Gu, Chenghong2; Huo, Da4; Zeng, Xianwu2; Pei, Xiaoze2; Cheng, Shuang2; Li, Jianwei2
发表期刊ENERGY
ISSN0360-5442
2022-03-15
卷号243页码:10
通讯作者Gu, Chenghong(C.Gu@bath.ac.uk)
摘要With the popularization of electric vehicles, vehicle-to-grid (V2G) has become an indispensable technology to improve grid economy and reliability. However, battery aging should be mitigated while providing V2G services so as to protect customer benefits and mobilize their positivity. Conventional battery anti-aging V2G scheduling methods mainly offline operates and can hardly be deployed online in hardware equipment. This paper proposes a novel online battery anti-aging V2G scheduling method based on a novel two-stage parameter calibration framework. In the first stage, the V2G scheduling is modeled as an optimization problem, where the objective is to reduce grid peak-valley difference and mitigate battery aging. The online deployment of the developed optimization-based V2G scheduling is realized by a rule-based V2G coordinator in the second stage, and a novel parameter calibration method is developed to adjust controller hyper-parameters. With the parameter calibration process, the global optimality and real-time performance of V2G strategies can be simultaneously realized. The effectiveness of the proposed methodologies is verified on a practical UK distribution network. Simulation results indicate that it can effectively mitigate battery aging in providing V2G services while guaranteeing algorithm real-time performance. (c) 2022 Elsevier Ltd. All rights reserved.
关键词Battery degradation Battery protective strategy Electric vehicle Energy management Energy storage system Transportation electrification Vehicle to grid
DOI10.1016/j.energy.2021.123083
关键词[WOS]IN ELECTRIC VEHICLES ; ENERGY MANAGEMENT ; STRATEGY ; OPTIMIZATION ; DEMAND ; COST
收录类别SCI
语种英语
WOS研究方向Thermodynamics ; Energy & Fuels
WOS类目Thermodynamics ; Energy & Fuels
WOS记录号WOS:000791916400004
出版者PERGAMON-ELSEVIER SCIENCE LTD
引用统计
被引频次:8[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/48447
专题复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
通讯作者Gu, Chenghong
作者单位1.Beijing Inst Technol, Sch Mech Engn, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China
2.Univ Bath, Dept Elect & Elect Engn, Bath, Somerset, United Kingdom
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
4.Cranfield Univ, Sch Water Energy & Environm, Cranfield, Beds, England
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GB/T 7714
Li, Shuangqi,Zhao, Pengfei,Gu, Chenghong,et al. Online battery-protective vehicle to grid behavior management[J]. ENERGY,2022,243:10.
APA Li, Shuangqi.,Zhao, Pengfei.,Gu, Chenghong.,Huo, Da.,Zeng, Xianwu.,...&Li, Jianwei.(2022).Online battery-protective vehicle to grid behavior management.ENERGY,243,10.
MLA Li, Shuangqi,et al."Online battery-protective vehicle to grid behavior management".ENERGY 243(2022):10.
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