Energy saving optimization insect intelligent control algorithm for parallel pumps in central air-conditioning system

被引：0
|
作者：
Yu J.-Q. [1 ]
Zhang R. [1 ]
Zhao A.-J. [1 ]
Qian X.-G. [1 ]
Liu Q.-T. [1 ]
机构：
[1] School of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2020年 / 37卷 / 10期
关键词：
Air-conditioning system; Distributed probability; estimation algorithm; Insect intelligent control system; Parallel water pump;
D O I：
10.7641/CTA.2020.90543
中图分类号：
学科分类号：
摘要：
Aiming at the problem that the parallel water pump optimization algorithm in the existing central air conditioning system is not adaptable to intelligent insect control, a parallel water pump optimization algorithm based on intelligent insect control system is proposed. Firstly, the working characteristic model and fitness function of parallel water pump are established. Secondly, a distributed probability estimation algorithm is proposed, in which each pump completes the optimization of the operation of parallel pumps only through the interaction information with adjacent pump. At last, for parallel pump systems of the same type and different types, the simulation verifies the correctness and effectiveness of the algorithm, and compares it with the traditional probability centralized estimation algorithm. The results show that the distributed optimal energy saving algorithm can meet the demand of terminal flow and optimize the number of pumps and the speed ratio of parallel water pump system of the same model. Different types of parallel water pump systems can be adjusted by the equal ratio of rotation speed to optimize the rotation speed ratio when the terminal flow changes. © 2020, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.
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页码：2155 / 2162
页数：7
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