Dynamic pricing and control for EV charging stations with solar generation

被引:15
|
作者
Cedillo, Monica Hernandez [1 ]
Sun, Hongjian [1 ]
Jiang, Jing [2 ]
Cao, Yue [3 ]
机构
[1] Univ Durham, Dept Engn, Durham DH1 3LE, England
[2] Northumbria Univ, Dept Math Phys & Elect Engn, Newcastle NE1 8ST, England
[3] Wuhan Univ, Sch Cyber Sci & Engn, Wuhan 430072, Peoples R China
关键词
Smart grid; Demand response; EV charging; Renewable energy; Optimisation; STRATEGY;
D O I
10.1016/j.apenergy.2022.119920
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Demand response is one of the most promising tools for smart grids to integrate more renewable energy sources. One critical challenge to overcome is how to establish pricing and control strategies for integrating more electric vehicles (EVs) and renewable energy sources. This paper proposes a dynamic optimal operation of a solar-powered EV charging station where onsite solar generation, number of EVs in the system, historical EV response to price, EV technical specifications and EV driving behaviour vary. A bi-level optimisation approach is proposed, where pricing tariffs ensure an economic and price responsive operation, then EV charging schedules are computed for energy bidding capacity to provide balancing services. Simulations are conduced to evaluate the performance of unidirectional and bidirectional EV charging at different charging speeds and demand elasticity. Results demonstrate the potential of extra revenue streams coming from the participation in energy markets compared to that of EV charging alone. Additionally, limitations of energy bidding with battery size, trip requirements and charging ratings are discussed to show insights into the operation of charging stations.
引用
收藏
页数:11
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