Day-Ahead Intra-Day Collaborative Rolling Optimization Strategy of Building Air Conditioning Considering Comfort Level

Power load regulation and optimization is one of the important tasks in the power industry. Through reasonable regulation of power load, the balance of power supply and demand can be achieved, the efficiency and stability of power grid operation can be improved, and the reliability of power supply can be guaranteed. An optimal scheduling strategy is established for air conditioners with storage resources. In the day-ahead stage, the air conditioning control model considering the coordination of storage resources is proposed, and the optimal power curve and operating cost of various resources are obtained. Load deviation cost is introduced in the intra-day stage, and the optimal scheduling model of intra-day rolling air conditioning is established, so as to achieve more accurate power scheduling. Finally, an example is given to verify the feasibility of the control strategy.