Energy-saving for the chills in transit station based on double-objective optimal algorithm

This paper discussed the energy-saving for the chills in the transit station air condition system. According to the actual demand of air condition, the optimized parameters with private setting are selected dynamically and the frequencies adapt parameters setting for the conversion units are installed. After rolling optimization, the optimal solutions parameters set are acquired. A double-objective evolutionary algorithm is simulated by MATLAB to verify the applicability, and use simulation tools with Petri Net to describe the running efficient of air condition system in transit station, analysis eventually the experiment data of field test in subway station, the optimal control strategy is verified useful and energy-saving efficient.