A Collaborative Control Method of Air Conditioner Groups Considering Rebound Reward and Punishment under Multi-Market Mechanism

As high-quality demand response resources, air conditioner groups play an important role in balancing the system active power, which can reduce the burden of peak-load time quickly. Certainly, the peak regulation optimization of air conditioners faces dual constraints from both carbon market and electricity market. In this paper, a two-stage cooperative control model of air conditioner groups under multiple market mechanism is proposed, involving the peak regulation and rebound optimization periods. A rebound reward and punishments calculation method of air conditioner groups is also designed. Considering optimization temperature range, optimization duration, single-period maximum carbon emission and maximum carbon emission, a cooperative control model of air conditioner groups with the goal of maximizing income is presented. Finally, the results show that the proposed approach is practical and useful for air conditioner groups in the electricity and carbon markets.