A Hybrid Incentive Program for Managing Electric Vehicle Charging Flexibility

被引:13
|
作者
Wang, Han [1 ,2 ]
Jia, Youwei [1 ]
Shi, Mengge [1 ]
Xie, Peng [1 ]
Lai, Chun Sing [3 ]
Li, Kang [2 ]
机构
[1] Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
[2] Univ Leeds, Sch Elect & Elect Engn, Leeds LS2 9JT, England
[3] Brunel Univ London, Dept Elect & Elect Engn, Brunel Interdisciplinary Power Syst Res Ctr, London UB8 3PH, England
基金
中国国家自然科学基金;
关键词
EV charging flexibility; incentive program; optimal incentive price selection; adaptive ADMM; DEMAND RESPONSE; AGGREGATOR; ENERGY; COORDINATION; OPTIMIZATION; MANAGEMENT; MODEL;
D O I
10.1109/TSG.2022.3197422
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With the mass roll-out of electric vehicles (EVs) and rapid progress in battery technology, utilizing EV charging flexibility has become a promising solution for supporting economic and secured power system operations. This work proposes a novel hybrid incentive program, which encourages EV owners to sell their charging flexibility to a charging station (CS) and achieve a win-win situation for both EV owners and the CS. Unlike existing approaches, the proposed hybrid incentive program is simultaneously featured with simplicity, consistency, and controllability. To determine the incentive payment parameters, an optimal incentive price selection model is developed. In the solution methodology, we first linearize the original problem, then develop an adaptive ADMM algorithm to efficiently solve the formulated problem. Case studies confirm the superiority of the proposed hybrid incentive program over the state-of-the-arts, achieving 22.51% of EV owners' cost reduction, 31.18% of energy market bill reduction, and 64.13% of potential charging flexibility utilization.
引用
收藏
页码:476 / 488
页数:13
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