Distributed Cooperation Model and Optimal Control Strategy for Interaction Between Large-scale Air Conditioning and Power Grid Based on Communication

It is easy to form a new peak when large-scale air-conditioning (AC) system synchronized response to time-varying price. This paper presents the distributed cooperation models and optimal control strategy for large-scale distributed AC and power grid coordination based on networked information interaction to avoid the new peak and minimize each user's electric bill under comfort condition. We decompose the global performance optimization index to each independent AC-subsystem. Each model predictive controller of AC-subsystem parallel performs optimization decision calculation. Then package the result and sent it to other AC-subsystems. Based on the received information from the other AC-subsystems and load of grid information from the server of the demand side management, each AC-subsystem calculates feasible cooperation control behaviors according to the cooperation game model and resends its result to other subsystems until the control behaviors of all the subsystems could no longer be made the peak decreases. The information interacts among subsystems in each predicted state evolution process. These controllers coordinate with each other through cooperative negotiation to realize real-time closed-loop optimized control for large-scale distributed residential air-conditioners. The simulation results of 50000 ACs responding to the time-of-use (TOU) validate the effectiveness of the proposed method. © 2018 Chin. Soc. for Elec. Eng.