PSO-based optimal online operation strategy for multiple chillers energy conservation

被引:5
|
作者
An, Jing [1 ]
Xu, Luyuan [2 ]
Fan, Zheng [3 ]
Wang, Kefan [1 ]
Deng, Qi [2 ]
Kang, Qi [2 ]
机构
[1] Shanghai Inst Technol, Sch Elect & Elect Engn, Shanghai 201418, Peoples R China
[2] Tongji Univ, Dept Control Sci & Engn, Shanghai 201804, Peoples R China
[3] East China Air Traff Control Engn Technol Co Ltd, Shanghai Civil Aviat, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
multiple chillers; energy conservation; PSO; two-layer control structure; MULTIOBJECTIVE OPTIMIZATION; IMPLEMENTATION; SYSTEM;
D O I
10.1504/IJBIC.2021.119999
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As a key part of energy conservation in HVAC system, reasonable operation strategy of multiple chillers is essential to most industrial buildings. In traditional chiller control strategies, the operation state of chillers mainly depends on the experience of on-site workers. Therefore, it is important to analyse the characteristics and integrate them into a set of effective control strategy of the chiller system. In this paper, we propose an efficient control strategy for energy conservation of multiple chillers. The system energy consumption and the constrains of the chillers are firstly modelled, and a two-layer control strategy for the chillers is proposed, which is respectively used to control the selection of starting scheme of the chillers under the cooling load at the current time and the setting of control parameter values of the chiller under the selected starting scheme. The core of the two-layer strategy is the use of PSO algorithm. Experimental results have suggested that the strategy can effectively optimise the energy consumption of the multiple chillers system and realise the accurate control in different periods.
引用
收藏
页码:229 / 238
页数:10
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