Stackelberg Game Based on Supervised Charging Method and Pricing Strategy of Charging Service Providers
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.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- DE-AC36-08GO28308
- OSTI ID:
- 1601581
- Report Number(s):
- NREL/JA-6A20-76144; MainId:24843; UUID:ff91c889-8852-ea11-9c31-ac162d87dfe5; MainAdminID:13317
- Journal Information:
- Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, Vol. 34
- Country of Publication:
- United States
- Language:
- English
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