混沌量子粒子群算法在火电厂中的应用  

Application of chaos quantum particle swarm optimization in thermal power plant

作　　者：刘静[1] 刘瑞敏[1] LIU Jing;LIU Ruimin(School of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650217,China)

机构地区：[1]昆明理工大学信息工程与自动化学院,云南昆明650217

出　　处：《电力科学与工程》2018年第3期57-63,共7页Electric Power Science and Engineering

摘　　要：在火电厂的一些过程控制中,PID控制器对电厂的稳定、安全和经济运行有着十分重要的影响,因此控制器参数的整定和优化是一个关键的问题。本文利用经验公式整定得到PID控制器的初始参数,在此基础之上利用混沌量子粒子群算法对PID控制器参数进行优化。针对300 MW循环流化床左裤衩腿密相区中燃料与床温在满负荷这一工况,通过MATLAB进行仿真,结果表明在该算法优化下的PID参数可以使被控对象在快速性、准确性和稳定性方面得到比较大的改善,具有一定的实用价值。In some process control of thermal power plants,the PID controller has a very important influence on the stability,safety and economic operation of the power plants.Therefore,the tuning and optimization of the controller parameters is a key issue.In this paper,we use the empirical formula to get the initial parameters of the PID controller,and then use the chaos quantum particle swarm algorithm to optimize the PID controller parameters.In view of the fuel and bed temperature in the left leg phase zone of 300 MW circulating fluidized bed,the simulation was done by MATLAB.The results show that the PID parameters under the optimized algorithm can make the controlled object fastly and accurately and the stability has been greatly improved,and it is with some practical value.

关 键 词：火电厂 混沌粒子群算法 循环流化床 仿真 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]