基于粒子群算法的火电厂热工过程模型辨识  

IDENTIFICATION OF THERMODYNAMIC PROCESS THROUGH MODEL BASED ON MODIFIED PARTICLE SWARM ALGORITHM

作　　者：张洪涛[1] 胡红丽[2] 徐欣航[1] 刘永红[1] 

机构地区：[1]河北省电力研究院,河北石家庄050000 [2]北方设计研究院,河北石家庄050000

出　　处：《热力发电》2010年第5期59-61,81,共4页Thermal Power Generation

摘　　要：针对火电厂热工过程对象的特点及传统模型辨识的缺陷,将粒子群算法应用于热工过程模型的辨识,并在实现方法、参数选取等方面进行了改进,提高了辨识的精确性与快速性。通过仿真数据及以某台300MW机组锅炉烟气挡板控制为对象,对再热蒸汽温度系统进行辨识,证明了该方法的有效性和可靠性。Directing against features of thermodynamic precess in thermal power plants, and defects of traditional method for identification through model, the particle swarm algorithm has been used into the thermodynamic process identification through model, and modification in aspects of implementation method and parameter selection being carried out, enhancing the accuracy and speediness in identification. Through emulation data and identification of steam temperature in reheat system of boiler for a 300 MW unit,which takes flue gas as the controlled object,the effectiveness and reliability of the said method have been proven

关 键 词：火电厂 热工过程 粒子群 辨识 模型 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]