Abstract: Although air conditioning load is the main force participating in demand response,it is difficult to find the demand response capability due to its highly decentralized characteristics. To solve this problem,the TCLs approximate aggregate power model of air conditioning load is established.Based on this model,a TCLs load control method based on temperature setting value adjustment is proposed. Combined with the influence of users’ comfort, the adjustment characteristics are analyzed,and the response potential of TCLs is evaluated by considering the improved matching daily baseline algorithm of the temperature feature clustering. Based on the actual data of a residential area in Shaanxi,the response potential of the residential area under different typical daily time scales and different temperature adjustments is simulated,and the simulation has verified the effectiveness of the model and potential evaluation method proposed in this paper.