智能计算在中央空调水系统优化控制中的应用研究

The Central Air Conditioning Water System Optimization Control Technology Research Based on Intelligent Computing

分析了中央空调水系统优化控制的目标函数,分别利用自适应遗传算法和差分进化算法对系统进行优化控制,同时给出了详细的个体编码与适应度函数的计算过程。对某城市行政服务大厅空调水系统的实验结果表明,差分进化算法与遗传算法相比,更能有效地降低水系统的功耗,为实际优化控制系统的设计提供重要参考。

This paper analyzes the central air conditioning water system optimal control objective function,and the adaptive genetic algorithm and differential evolution algorithm is used to optimize the system control.At the same time,the detailed individual coding and fitness function calculation process is worked out.Choosing a city administrative service hall air conditioning water system as the experimental object,the experimental results show that differential evolution algorithm can effectively reduce the power consumption for water system compared to adaptive genetic algorithm,It can provide important reference for practical optimal control system design.