The uncertainty on both the supply and demand sides is prone to cause fluctuations in voltage and load in distribution networks. As high-quality regulation resources

thermostatically controlled loads urgently require the development of efficient and feasible load control strategies to help achieve a balance between electricity supply and demand. Therefore

this paper proposes a method for thermal parameter identification and active balancing control of thermostatically controlled loads that considers user willingness

aiming to stabilize the voltage and load fluctuations in the low-voltage distribution area. Upon receiving the voltage deviation signal

the load agent preliminarily determines its control eligibility based on the adaptive action threshold

thereby limiting the number of devices that act simultaneously. An improved Transformer model is utilized to rapidly identify the thermal parameters for thermostatically controlled loads online. Based on personalized thermal parameters and differentiated user willingness

load adjustability is analyzed and enhanced

and autonomous decision-making is facilitated. Simulation results indicate that the proposed strategy can effectively improve the speed and accuracy of thermal parameter identification for thermostatically controlled loads. It can realize orderly control of the load group while respecting user willingness

taking into account both user temperature comfort and regulation fairness

thereby stabilizing voltages and smoothing load fluctuations in the low-voltage distribution networks.