Stackelberg Game Based on Supervised Charging Method and Pricing Strategy of Charging Service Providers

被引：0
|
作者：
Shi Y. [1 ]
Feng D. [1 ]
Zhou E. [2 ]
Fang C. [3 ]
机构：
[1] Key Laboratory of Control of Power Transmission and Conversion Ministry of Education, Shanghai Jiao Tong University, Shanghai
[2] National Renewable Energy Laboratory, Golden
[3] Electric Power Research Institute of State Grid Shanghai Municipal Electric Power Company, Shanghai
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2019年 / 34卷
关键词：
Charging service provider; Charging strategy; Electric vehicle; Marginal price; Stackelberg game;
D O I：
10.19595/j.cnki.1000-6753.tces.L80719
中图分类号：
学科分类号：
摘要：
The charging of large-scale electric vehicles (EVs) brings about a large new load to the electricity network, while it is also a demand response resource. Smart charging equipment and patterns of charging service will be one of the research focuses at the next stage. Smart charging equipment schedules EV's charging on the basis of electricity price, and this method enables users to hold the right of controlling their own EV's charging procedure. Thus, there exists a Stackelberg game between charging service providers, who set the price, and independent EVs. The marginal charging price, which reflects properties of individual EV, and the pricing strategy of charging service providers can be derived through solving this game problem. A price based charging strategy is proposed, which is suitable for the dynamic electricity price mechanism because of its light communication burden. In a simulation of a charging service provider covering 200 smart devices, this real-time supervised charging strategy shows its advantages of curbing users' payment and guiding the charging load effectively. © 2019, Electrical Technology Press Co. Ltd. All right reserved.
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页码：742 / 751
页数：9
相关论文
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