The increase of the proportion of distributed energy connected to the grid brings huge threats to the stability and operation cost of the power grid. As common adjustable resource, the electric vehicle（EV）has a huge potential to promote the consumption of renewable energy. In order to solve the coordinated scheduling challenges between the electric vehicles and the distribution network, a multi-time scale optimal scheduling model is designed. Firstly, based on the elasticity model of electricity price, the time-of-use electricity price model on the user’s mental account theory is constructed considering the consumer psychological factors, so as to better guide the charging and discharging of electric vehicles. Secondly, the scheduling is carried separately before and within the day according to whether users sign the incentive agreement, and the optimization is carried out considering the carbon trading mechanism and the master-slave game model. Finally, the mayfly algorithm is improved to improve the solving efficiency. The effectiveness of the proposed model and strategy is proved by Matlab software.