Assessment of adjustable capacity of fixed-frequency air conditioning loads based on rebound suppression and time-varying complementary characteristics

Air conditioning loads (ACLs) are important flexible load resources in the power regulation of new power systems. Accurate evaluation of their adjustable capacity is a prerequisite for grid scheduling, and the post-response rebound effect poses a potential threat to the power system. This paper proposes a rebound-suppressing control method for ACLs. Based on the time-varying complementary characteristics of the aggregated power curve under this method, an adjustable capacity assessment model for ACLs is constructed. Firstly, the mechanism of rebound effect caused by traditional control methods is analyzed using a state queue model. Then, a control method is introduced to suppress the rebound effect by restoring the relative temperature position of the air conditioners at the end of the control period. Finally, a time-varying complementary combination model is developed to evaluate and explore the adjustable capacity of air conditioner groups, considering both response duration and power variation. Simulation results show that compared with the other two methods, the proposed rebound-suppressing method can better maintain the temperature diversity of air conditioner groups and effectively suppress the rebound effect. The proposed adjustable capacity evaluation method can still provide considerable adjustable power for response durations of 10 minutes or longer.