摘要
设计了集中空调水系统层次实时在线的上位机控制器,并对其进行仿真在线评估.该控制器采用基因遗传优化算法,能够快速准确地获得各控制变量在预测时间内的最优设定值.实时仿真试验表明,其与固定设定的上位机控制器,以及局部层次的上位机控制器相比,能够在满足控制稳定性的前提下,最大限度地节约整个水系统的总能耗.
In this paper, a real-time online optimal supervisory controller of a central chilled water system is developed and evaluated on the digital simulator. The controller can quickly forecast the optimal set points of different control variables with a genetic algorithm. The simulator shows that it can minimize the total energy consumed by the system in comparison with the fixed set points controller and the local supervisory controllers while still keeps the control stability.
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2006年第6期808-812,共5页
Journal of Tongji University:Natural Science
关键词
空调系统
上位机控制器
基因遗传算法
在线评估
central air-conditioning system
supervisory controller
genetic algorithm
on-line evaluation
