摘要
为全面优化制冷系统的参数,使系统负载率始终处于最优水平,引进改进遗传算法,研究数据中心制冷系统比例-积分-微分(Proportion-Integral-Derivative,PID)参数寻优方法。根据系统运行中的信号表达方式,主动调节数据中心制冷系统PID控制中的积分信号;设定算法的遗传变量、决策变量约束条件等,构建系统PID参数适应度函数;收集数据中心制冷系统在运行过程中的采样数据,并根据采样数据、采样频率,进行PID参数混沌寻优。实验结果表明,设计的方法可以确保参数优化后的系统在运行中始终处于最优负载状态,减少了制冷系统的能耗损失。
In order to achieve comprehensive optimization of parameters in the operation of the refrigeration system and ensure that the system load rate remains at the optimal level,an improved genetic algorithm is introduced to conduct a comprehensive design and research on the Proportion-Integral-Derivative(PID)parameter optimization method of the data center refrigeration system.Actively adjust the integral signal in the PID control of the data center refrigeration system based on the signal expression during system operation;Set the genetic variables and decision variable constraints of the algorithm,and construct the fitness function of the system PID parameters;Collect sampling data of the refrigeration system in the data center during operation,and perform chaotic optimization of PID parameters based on sampling data and sampling frequency.The experimental results indicate that the designed method can ensure that the optimized system remains in the optimal load state during operation,reducing unnecessary energy loss in the refrigeration system.
作者
余光佐
黄赟
李娇
YU Guangzuo;HUANG Yun;LI Jiao(China Mobile Communications Group Shanghai Co.,Ltd.,Shanghai 200060,China)
出处
《信息与电脑》
2023年第20期70-72,共3页
Information & Computer
关键词
改进遗传算法
寻优方法
参数
比例-积分-微分(PID)
制冷系统
数据中心
improved genetic algorithm
optimization methods
parameters
Proportion-Integral-Derivative(PID)
refrigeration system
data center
