冰蓄冷空调系统的多目标优化控制策略研究

Multi—objective Optimization Control Strategy Research for Ice Storage Air—conditioning System

为了减少制冷机组的能耗和降低冰蓄冷空调系统的运行费用,提出了基于非线性多目标模型的优化控制策略;首先建立了多台制冷机组总能耗最少的目标函数;其次根据系统设备能耗和当地电价结构,得到了系统总运行费用最小的目标函数;最后使用MATLAB软件编程求得最优解;通过工程实例仿真对比在不同冷负荷时的优化控制策略和制冷机组优先策略下的制冷机组能耗和系统运行费用,结果表明非线性多目标优化控制能够发挥系统潜力,减少制冷机组能耗,降低系统运行费用。

In order to reduce the energy consumption of chillers and operating cost of ice storage air conditioning systems, nonlinear optimal control strategy is presented in the paper based on a multi--objective optimization model. Firstly, multiple chillers energy consump- tion minimal objective function is established; secondly, according to the system equipment energy consumption and local energy tariff struc- ture, minimal objective function of total system operating costs is obtained; and finally using MATLAB software programming obtains the optimal solutions, chillers energy consumption and system operating cost compared optimization control strategy with the priority strategy un- der different cooling load by engineering examples simulation, the results show that the nonlinear multi--objective optimization control sys- tem to play the potential to reduce chillers energy consumption and system operating cost.