The short-term optimal resource allocation approach for electric vehicles and V2G service stations

doi:10.1016/j.apenergy.2022.119200

GIEC OpenIR

	The short-term optimal resource allocation approach for electric vehicles and V2G service stations
	Xu, Jie1,2,3 ; Huang, Yuping 1,2,3
	2022-08-01
发表期刊	APPLIED ENERGY
ISSN	0306-2619
卷号	319 页码:15
通讯作者	Huang, Yuping(huangyp@ms.giec.ac.cn)
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.
关键词	Electric vehicles Vehicle-to-Grid Resource allocation Hybrid clustering MILP
DOI	10.1016/j.apenergy.2022.119200
关键词[WOS]	TECHNOLOGIES
收录类别	SCI
语种	英语
资助项目	National Key Research and Develop-ment Program of China[2021YFE0112500]
WOS研究方向	Energy & Fuels ; Engineering
项目资助者	National Key Research and Develop-ment Program of China
WOS类目	Energy & Fuels ; Engineering, Chemical
WOS记录号	WOS:000806861500007
出版者	ELSEVIER SCI LTD
引用统计	被引频次：10[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.giec.ac.cn/handle/344007/36850
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
第一作者单位	中国科学院广州能源研究所
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.