Study on optimal supervisory control in a central chilled water system based on genetic algorithm

H. Meng, Shengwei Wang, W.D. Long

Research output: Journal article publicationJournal articleAcademic research


提出一种优化控制策略,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,该策略与固定设定值的控制方式以及局部层次的优化控制方式相比,能够在满足控制稳定性的前提下最大限度地节约整个空调水系统的总能耗。||A kind of real-time online optimal supervisory control strategy of a central chilled water system is presented.It can quickly forecast the optimal set points of different control variables with genetic algorithm.The simulating results show that it can minimize total energy consumption of the system compared with the way of fixed set points strategy and the local optimal supervisory one,while still keep control stability.
Original languageChinese (Simplified)
Pages (from-to)39-42
Number of pages4
Journal建筑节能 (Construction conserves energy)
Issue number1
Publication statusPublished - 2007


  • Genetic algorithm
  • Air-conditioning system
  • Real-time online
  • Optimal control

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