【摘要】 以广州某数据中心水蓄冷冷却系统为研究对象，提出了一种基于混合整数线性规划的模型预测控制方法 .该方法以数据中心冷却系统的能耗最低为优化目标，通过对冷却系统和环境条件进行建模，并结合能源成本和冷却系统效率，确定最佳的冷水机组运行策略和水蓄冷冷却系统的时序控制.在优化过程中，考虑了冷水机组的最小连续运行时间对冷却系统能耗的影响，并确定了最佳取值，提高了机组的稳定性，减少了因冷机频繁启停带来的能耗浪费.通过全年能耗模拟，相较于传统控制方法，该方法将总能耗降低了6.52%，总运行费用降低了6.93%.更多还原

【Abstract】 This study presents a model predictive control method based on mixed-integer linear programming, taking the chilled water storage cooling system of a data center in Guangzhou as the research object. The optimization objective of the method is to minimize the energy consumption of the cooling system. By modeling the cooling system and environmental conditions and considering energy costs and cooling system efficiency, the optimal operation strategy for chillers and the scheduling arrangement for the chilled water storage cooling system are determined.During the optimization process, this research takes into account the influence of the minimum continuous operation time of chillers on the energy consumption of the cooling system and determines the optimal value to improve stability and reduce energy waste caused by frequent chiller start-ups and shutdowns. Through an annual simulation, this method reduces the total energy consumption by 6.52% and the total operating cost by 6.93%, compared to the baseline strategy.更多还原