Reasonable control of air conditioning group load to promote the balance of power supply and demand and ensure the stable operation of the power grid. Based on the historical data, the linear regression model fits the equipment characteristics of the air conditioner, combines the ETP parameter model of the house to which the air conditioner belongs to build an air conditioner load model, considers the allowable shutdown time of the air conditioner, and puts forward a method to evaluate the potential of air conditioning regulation.Focusing on the relationship between the power grid, LA and air conditioning users, a demand response mechanism is proposed.Set the minimum deviation between the power change of the air conditioning group and the demand of the power grid as the target function, and put forward an air conditioning control strategy based on the indoor temperature that does not exceed the reasonable range of user comfort.Finally, the particle swarm algorithm is used for example analysis, which calculates the adjustable control potential of the air conditioning group and verifies the effectiveness of the strategy proposed in this article.