Research on the Evaluation System of Central Air Conditioning Demand Response Interaction Capability Considering Time Delay Effect

This paper addresses the evaluation of central air conditioning demand response capability, with a focus on the time delay effect. Evaluating user-side resources is crucial for predicting and adjusting electricity demand, aiding in peak shaving, and ensuring grid stability. Existing methods often overlook social factors, time delays, and confidence levels, leading to unreliable assessments. To improve accuracy and reliability, we develop an integrated evaluation index system combining social and physical indicators, using cumulative prospect confidence and prospect theory for weight calculation. Simulations confirm that the proposed method significantly enhances evaluation accuracy and reliability, optimizing demand response management in power systems.