Evaluation of air-conditioning load adjustable potential and control strategy considering user response fatigue characteristics

Abstract Air-conditioning load is regarded as a high-quality flexible resource due to its ambient thermal energy storage characteristics, fast response time and large load base. The key to its transformation into an adjustable resource lies in the potential assessment and control strategy research. In this paper, we first analyze the evolution of user response willingness with the number of response times, realize the effective modeling of user response fatigue characteristics by introducing the response fatigue function, and establish a response potential assessment model based on the air-conditioning load approximation aggregation model; and then establish a user screening model: by learning the user's electricity consumption habits online based on the theory of risk-averse multi-armed bandit, we prioritize the users who have a stronger willingness to participate in sending the demand response signal. Finally, in order to alleviate user response fatigue, different users are selected to participate in the response by cycle rotation, and a cycle rotation control strategy considering user response fatigue characteristics is proposed. Through simulation analysis, it is verified that the proposed evaluation method can more accurately evaluate the adjustable potential of air conditioning load, and the proposed control strategy can effectively reduce user fatigue with better response effect.