由于轨道交通的能耗快速增长，节能已成为轨道交通行业的重要专业。本文分析了车站空调系统目前所采用的控制方法及其存在的问题，提出模型预测控制方法，对该方法的滚动预测方法、优化目标与约束条件、全局寻优方法进行了描述，并对该方法的使用效果进行了仿真分析，结果表明使用模型预测控制轨交车站空调系统能耗降低12.7%，夏季用电峰值负荷降低约35%。

As the energy consumption of rail transit grows rapidly, energy saving has become an important system in subway station. In this paper, the current control method of air-conditioning system was analyzed, and then propose a new model predictive control method. The rolling prediction method, optimization objective and restraint conditions, and global optimization methods were described. The method was analyzed in a simulation and showed that the energy consumption was lowered 12.7% and the peak power demand in summer was lowered 35%.