Abstract: The peak regulation potential of the system is excavated from both sides of the source and load,and a hierarchical optimal scheduling strategy for concentrating solar power participating in deep peak shaving considering demand response is established.Starting from the load side,the upper layer proposes a price demand response model based on load classification,which effectively alleviates the pressure of system peak regulation. Starting from the power supply side,the middle layer uses the flexible regulation characteristics of the concentrating solar power to coordinate the thermal power units to participate in the auxiliary peak regulation during the deep peak regulation period,and constructs a day-ahead scheduling model with the minimum total cost as the objective function. In the lower layer,an intra-day dynamic adjustment model based on model predictive control is proposed. While rolling optimization,the day-ahead scheduling plan of the heat storage device of the concentrating solar power is adjusted in real time through the state feedback link. The simulation results show that the proposed scheduling strategy can effectively suppress the short-term power fluctuation of wind-solar and load while reducing the peaking cost of the system,and improve the wind-solar consumption rate under the premise of ensuring the safe and stable operation of the system.