Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/60203
Title: Study on optimal supervisory control in a central chilled water system based on genetic algorithm
Other Titles: 基于遗传算法的空调水系统优化控制研究
Authors: Meng, H
Wang, SW 
Long, WD
Keywords: Genetic algorithm
Air-conditioning system
Real-time online
Optimal control
Issue Date: 2007
Publisher: 中國建筑東北設計研究院
Source: 建筑节能 (Construction conserves energy), 2007, v. 35, no. 1, p. 39-42 How to cite?
Journal: 建筑节能 (Building energy efficiency) 
Abstract: 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.
URI: http://hdl.handle.net/10397/60203
ISSN: 1673-7237
Rights: © 2007 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2007 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research purposes.
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