Power Network-charging Station Operator Coordinated Operation Considering Heterogeneity and Incomplete Rationality of User Decision-making

Along with rapid growth of the electric vehicles(abbr. EV) and the fast charging station, the coupling between power network and transportation network is increasing. Charging price, as an incentive means, is an effective measure to guide the routing and charging choices of EV. To dig the spatial flexibility of electric vehicle charging loads, a coordinated optimization framework of power system vs. charging station operator was proposed. Firstly, the modeling of coupled power-transportation network was based on the discrete choice model to fulfill the charging load calculation considering the heterogeneity and incomplete rationality of vehicle driver's decision-making. Secondly, by means of the cooperation between power system operator and charging station operator, the charging price and charging capacity were coordinately optimized, and the behavior pattern of vehicle drivers was guided to dig the spatial transfer potential of charging loads. Finally, considering the income loss of charging station operators from the cooperation, the net income generated by cooperation was reasonably distributed based on the Nash bargaining mechanism. Results of computing example show that the proposed framework effectively reduces the power supply cost of power system and ensures the stability of cooperative alliance from the perspective of individual rationality.