Abstract:The new power system based on new energy needs more flexible resources to participate in the system regulation. The peak load of air conditioning accounts for the total negative and more than 30%, and has the advantages of fast response speed and multiple control methods, so it is an important flexible resource in power system. Considering that the capacity of a single air conditioner is small, it needs to provide demand response to the power grid operator through the aggregation of Load Aggregator (LA). Therefore, this paper proposes a two-stage optimization strategy of LA bidding and pricing for air conditioners, which takes into account the difference in response capacity of air conditioner users. In the bidding stage, considering the uncertainty of user response behavior, a bidding optimization model with maximum LA benefit is established by using stochastic optimization method. Then, according to the medium value obtained in the bidding stage, the difference in user response behavior is considered in the pricing stage, and a diversified user incentive compensation reward and punishment mechanism is designed to improve LA profits and air-conditioning users" trading enthusiasm, and reduce trading risks. Finally, a numerical example is given to verify the effectiveness of the proposed model.