Abstract:With the accelerated construction of new power system, the randomness on the power source side and the uncertainty on the load side are intertwined, causing a great impact on power balance. In order to further optimize the demand response policies, a comprehensive analysis is conducted on Hubei provincial grid load, cooling load, group load, and industrial peak shifting load in recent years. It is pointed out that the summer air conditioning cooling load is the main cause of seasonal peak load, and the structural contradiction of the load of industrial, commercial, and residential users lies in the incomplete match between the electricity consumption characteristics of the three groups and their current market price mechanism. Secondly, the simulation analysis of peak shifting effect of the time of use (TOU) price based on classified load shows that optimizing the time division of TOU price for industry and setting TOU price for residents have positive effects. Finally, by comparing the analyzing of the implementation of incentive based demand response with the active guidance of TOU price, it is recommended to implement a more refined price mechanism at a smaller time scale based on the differentiated electricity consumption habits of various users, so as to better promote the balance of power supply and demand.