基于SIS的火电机组热工对象数学模型辨识  

Identification of Mathematical Model of Thermal Power Plant’s Thermal Object Based on SIS

作　　者：孙燕平 常永亮 李振林 Sun Yanping;Chang Yongliang;Li Zhenlin(Beijing Jingneng Electric Power Co.,Ltd.,Beijing,100025,China;Jingneng Qinhuangdao Thermal Power Co.,Ltd.,Hebei,Qinhuangdao,066300,China;Hebei Zhuozhou Jingyuan Thermal Power Co.,Ltd.,Hebei,Zhuozhou,072750,China)

机构地区：[1]北京京能电力股份有限公司,北京100025 [2]京能秦皇岛热电有限公司,河北秦皇岛066300 [3]河北涿州京源热电有限公司,河北涿州072750

出　　处：《仪器仪表用户》2022年第1期97-99,35,共4页Instrumentation

摘　　要：火电机组热工被控对象数学模型辨识,在热工自动控制系统控制参数整定中起到至关重要作用。随着机组运行时间变长,热工控制对象静态、动态特性逐渐发生变化,相应控制参数已不在适应原自动控制回路。常规控制参数整定方法为解除自动,进行阶跃扰动实验,重新进行参数修正。上述整定方法不但干扰现场生产,还存在一定的安全风险,同时辨识精度不高。随着工业信息化、自动化的不断发展,基于大数据等智能辨识算法不断成熟且广泛应用于工业现场中。基于此,本文依托于DCS单向隔离的SIS平台,采用粒子群智能算法辨识相应热工被控对象数学模型。该方法既保证了现场的安全性,同时充分利用大量生产历史数据,充分挖掘不同变量之间的相关性,从而使热工被控对象的数学模型精度更高、更准确。The mathematical model identification of thermal controlled object of thermal power unit plays an important role in the control parameter setting of thermal automatic control system.With the increase of unit operation time,the static and dynamic characteristics of thermal control object gradually change,and the corresponding control parameters are no longer suitable for the original automatic control loop.The conventional control parameter setting method is to release the automatic,carry out the step disturbance experiment and correct the parameters again.The above setting method not only interferes with the on-site production,but also has a certain safety risk,and the identification accuracy is not high.With the continuous development of industrial informatization and automation,intelligent identification algorithms based on big data are becoming more and more mature and widely used in industrial field.Based on this,relying on the SIS platform isolated from DCS,this paper uses particle swarm intelligence algorithm to identify the mathematical model of the corresponding thermal controlled object.This method not only ensures the safety of the site,but also makes full use of a large number of production historical data and fully excavates the correlation between different variables,so as to make the mathematical model of thermal controlled object more accurate and accurate.

关 键 词：数学模型 辨识 SIS 粒子群 热工 火电机组 

分 类 号：TK229.1[动力工程及工程热物理—动力机械及工程] TK223.32