考虑分布式可再生能源交易的风电商与电动汽车充电站协同优化调度

This paper proposes an optimal collaborative scheduling model for wind power operators and electric vehicle charging stations (EVCSs) considering the distributed renewable energy trading. Different from the traditional collaborative operation method, this paper motivates the collaborative operation of the wind power operators and the EVCSs in the market-based approaches. At the same time, an energy trading model based on the cooperative game is established, and a benefit distribution method considering the bargaining contributions is constructed according to the contribution levels of the participants to the overall social welfare enhancement during the trading process, which overcomes the deficiency of the traditional Nash game benefit distribution ignoring the contributions. In terms of the privacy protection, a distributed approach based on the consistency algorithm is proposed to solve the collaborative optimal scheduling model; and the analytical solution of the benefit distribution based on the bargaining contributions is given under the KKT (Karush-Kuhn-Tucker) condition. The simulation results show that the coordination mechanism is able to promote renewable energy trading between the wind power operators and the EVCSs, which effectively improves the profitability of the wind power operators, reduce the operating cost of the EVCSs, and achieve a fair distribution of the revenue.