Integrating Incentive Factors in the Optimization for Bidirectional Charging of Electric Vehicles

doi:10.1109/TPWRS.2023.3308233

	Integrating Incentive Factors in the Optimization for Bidirectional Charging of Electric Vehicles
	Li, Shuangqi 1,2; Zhao, Pengfei 3,4; Gu, Chenghong 1; Bu, Siqi 5,6; Li, Jianwei1 ; Cheng, Shuang 1
发表期刊	IEEE TRANSACTIONS ON POWER SYSTEMS
ISSN	0885-8950
	2024-03-01
卷号	39 期号:2 页码:4105-4116
通讯作者	Gu, Chenghong(c.gu@bath.ac.uk)
摘要	Vehicle-to-grid (V2G) technologies can actively integrate electric vehicles (EVs) into power systems, thus playing a crucial role in stabilizing the grid and facilitating seamless integration of intermittent renewable energy. This article for the first time quantifies and integrates incentive factors into V2G management for realizing efficient, economical, and comfortable EV smart charging. A multi-element V2G incentive analysis model is established by analyzing grid power balancing requirements, considering vehicle charging costs, ancillary service benefits, battery aging, and range anxieties. The established model serves as a useful tool for quantitatively evaluating the incentive effect on V2G from both the grid operator and prosumer sides. Incentivized EV charging management is realized by a hybrid discrete-continuous policy network, where both vehicle charging state transition and power variation are fully controlled for reducing battery aging and maximizing V2G benefits. Charging management of EVs is realized by better balancing the cost-benefit tradeoff between different incentive factors. The effectiveness of the developed method is verified on a practical U.K. power grid. This research contributes to economical and computationally efficient solutions for managing smart EV charging, benefiting EV owners, network operators, and renewables.
关键词	Electric vehicle vehicle grid integration smart charging incentivized strategy renewable energy battery aging cost-benefit analysis
DOI	10.1109/TPWRS.2023.3308233
关键词[WOS]	ENERGY MANAGEMENT ; JOINT OPTIMIZATION ; BATTERY ; SYSTEM ; STORAGE ; POLICY ; PRICE ; FLEXIBILITY ; MECHANISMS ; STRATEGY
收录类别	SCI
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:001177135800126
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/58728
专题	舆论大数据科学与技术应用联合实验室
通讯作者	Gu, Chenghong
作者单位	1.Univ Bath, Dept Elect & Elect Engn, Bath BA2 7AY, Avon, England 2.Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing 100049, Peoples R China 4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China 5.Hong Kong Polytech Univ, Dept Elect Engn, Shenzhen Res Inst, Ctr Adv Reliabil & Safety,Kowloon, Hong Kong, Peoples R China 6.Hong Kong Polytech Univ, Res Inst Smart Energy, Kowloon, Hong Kong, Peoples R China
推荐引用方式 GB/T 7714	Li, Shuangqi,Zhao, Pengfei,Gu, Chenghong,et al. Integrating Incentive Factors in the Optimization for Bidirectional Charging of Electric Vehicles[J]. IEEE TRANSACTIONS ON POWER SYSTEMS,2024,39(2):4105-4116.
APA	Li, Shuangqi,Zhao, Pengfei,Gu, Chenghong,Bu, Siqi,Li, Jianwei,&Cheng, Shuang.(2024).Integrating Incentive Factors in the Optimization for Bidirectional Charging of Electric Vehicles.IEEE TRANSACTIONS ON POWER SYSTEMS,39(2),4105-4116.
MLA	Li, Shuangqi,et al."Integrating Incentive Factors in the Optimization for Bidirectional Charging of Electric Vehicles".IEEE TRANSACTIONS ON POWER SYSTEMS 39.2(2024):4105-4116.