Abstract: Grid-connection of wind power and photovoltaic is an effective means to reduce pollutant discharge from traditional coal-fired power plants. However,there is uncertainty in its intermittent energy output and the high-proportioned grid-connection results in challenges to the stable operation of electric power systems. In view of this,this paper utilizes the advantages of pumped storage in large capacity and fast response to establish a two-stage dynamic scheduling model of wind power,photovoltaic,thermal power and pumped storage. The long-time scale is aimed at minimizing total cost,so as to optimize controllable power output through considering the cost of system operation,emissions of SO₂,NO_X and PM,and punishment from wind and photovoltaic abandonment in an integrated way. With the long-time scale as the benchmark,the short-time scale is to continuously solve the output increment on the basis of the model predictive control principle and minimize the active output deviation of the pumped storage unit so as to enhance the smoothness of the scheduling. Finally,the actual data of pumped storage units in a region of northeast China and the improved IEEE-30 node system simulation are followed to verify the effectiveness of the model proposed herein,so as to bring down the pollutant-discharge level of the system and raise the capacity of the power system for consumption of wind power and photovoltaics.