摘要
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,提出了一种群智能控制系统适用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概率估计算法,在该算法中每个水泵仅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和不同的冷冻水循环泵系统进行仿真验证并同时与集中式概率估计算法做对比.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.
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.
作者
于军琪
张瑞
赵安军
钱薛艮
刘奇特
YU Jun-qi;ZHANG Rui;ZHAO An-jun;QIAN Xue-gen;LIU Qi-te(School of Building Services Science and Engineering,Xi’an University of Architecture and Technology,Xi’an Shaanxi 710055,China)
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2020年第10期2155-2162,共8页
Control Theory & Applications
基金
国家重点研发计划项目“新型建筑智能化系统平台技术”(2017YFC0704100)资助.
关键词
中央空调系统
群智能控制系统
并联水泵
分布式概率估计算法
air-conditioning system
insect intelligent control system
parallel water pump
distributed probability estimation algorithm
