A real-time charging price strategy of distribution network based on comprehensive demand response of EVs and cooperative game

In order to further explore the demand response potential of electric vehicles (EVs), a real-time charging price setting strategy is proposed based on the constructing a comprehensive demand response model for EVs and cooperative game. Firstly, a comprehensive demand response model for EVs is constructed based on fuzzy evaluation. The comprehensive demand response model takes into account both the charging price and the vehicle's perception of road network. Secondly, based on cooperative game theory, a FCS (fast charging station) charging price strategy is proposed, which considers all FCSs as a cooperative alliance. In order to maximize the benefits of the cooperative alliance, the income of alliance members is distributed based on Shapley value. The charging price is divided into DLMP (distribution locational marginal price) part and service fee part. DLMP can reflect the operation status of the distribution network, and realize the adjustment of the charging price. The service fee is adjusted based on the cooperative game to maximize the charging income while reasonably adjusting the income distribution among the FCSs. And the adjustment of charging price can be realized based on the service fee. The charging prices of each charging station are determined through the distribution of their income. Finally, the strategy proposed is validated based on the 33 bus system and a 34 node road network system. The simulation results show that by application of the proposed strategy in this paper the operation level of FCSs can be improved effectively. And operating pressure of road network and power system can be alleviated.