There is a problem that charging stations treat EV charging and discharging without distinction. To tackle this an optimal scheduling model including dynamic charging price, discharging price, charging and discharging power based on discharge behavior control is proposed. The model takes the interactive fluctuation of power between the charging station and the distribution network and the operating income of the charging station as the objective, and according to the fluctuation of the original load of the distribution network, discharging is only for the peak load period. The cycle life of the battery is also considered to limit its single discharge depth to reduce the cost of battery loss and discharge. The model using a particle swarm optimization algorithm and the validity and rationality of the proposed method are verified by comparison and analysis of different examples. This work is supported by the National Natural Science Foundation of China (No. 51607105).