350MW超临界火电机组协调系统的模型辨识  

Model Identification of 350MW Supercritical Thermal Power Unit Coordination System

作　　者：陈宝林 李丹[2] 韩璞[2] 许鑫[2] 

机构地区：[1]国电科学技术研究院,江苏南京210023 [2]华北电力大学河北省发电过程仿真与优化控制重点实验室,河北保定071003

出　　处：《计算机仿真》2017年第7期123-127,255,共6页Computer Simulation

摘　　要：建立超临界机组多变量系统的模型,了解多变量系统被控对象的动态特性,是设计控制方案和修正控制器参数的基础。以协调控制系统为例,对协调控制系统被控对象进行了动态特性分析,基于超临界机组历史运行数据,运用智能优化算法对协调控制系统被控对象进行模型的闭环参数辨识,克服了开环辨识方法影响机组正常运行的问题。经过模型验证环节,证明了闭环辨识方法的可靠性,也为研究多变量系统建模问题提供了新的方法与思路。Supercritical unit multivariable system modeling and the understanding of the dynamic characteristics of the controlled object in the muhivariable system are the basis of designing the control scheme and modifying the con- troller parameters. In this paper, coordinated control system is taken as an example, and the dynamic characteristics of the controlled object of the coordinated control system were analyzed. Based on the historical data of the supercriti- cal unit, the intelligent optimization algorithm was used to identify the closed loop parameters of the model of the coor- dinated control system. The reliabihty of the closed-loop identification method was proved by the model verification, and a new method and idea for the research of multivariable system modeling was also provided.

关 键 词：超临界火电机组 协调系统 智能优化算法 模型辨识 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]