中央空调系统并联水泵节能优化群智能控制算法
intelligent control algorithm of energy saving optimization group for parallel pumps in central air-conditioning system
摘要点击 173  全文点击 52  投稿时间:2019-07-10  修订日期:2020-05-04
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DOI编号  10.7641/CTA.2020.90543
  2020,37(10):2155-2162
中文关键词  中央空调系统  群智能控制系统台  并联水泵  分布式概率估计算法
英文关键词  air-conditioning system  insect intelligent control system  parallel water pump  distributed probability estimation algorithm
基金项目  国家重点研发计划资助项目(2017YFC0704100)
作者单位E-mail
YU 西安建筑科技大学 oyayiyayou@163.com 
ZHANG 西安建筑科技大学  
Zhao 西安建筑科技大学  
Qian 西安建筑科技大学  
LIU 西安建筑科技大学  
中文摘要
      本文针对现有中央空调系统中并联水泵优化算法在群智能控制方面适应性不足问 题,提出了一种基于群智能平台的并联水泵优化算法。首先建立了并联水泵工作特性模型及 适应度函数,其次提出了一种分布式的估计算法,每个水泵通过与相邻水泵交互信息完成对 并联水泵运行的优化,最后分别以大小相同冷冻水循环泵系统和大小不同冷冻水循环泵系统 进行仿真验证并同时与集中式估计算法做对比。结果表明,该分布式算法可在满足末端流量 需求的情况下,对大小相同并联水泵进行台数配置和转速比优化;在末端流量变化时,不同 大小水泵可通过转速比等比例调节,实现对转速比的优化。
英文摘要
      tem 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.