电厂高压加热器水位控制系统的智能优化方法  

Intelligent Optimization Method of Water Level Control of High Pressure Heater in Power Plant

作　　者：赵广辉 Zhao Guanghui(Zhong Shan Jiaming Power Co.,Ltd.,Guangdong,Zhongshan,528400,China)

机构地区：[1]中山嘉明电力有限公司,广东中山528400

出　　处：《仪器仪表用户》2023年第3期74-78,共5页Instrumentation

摘　　要：高压加热器是火电厂用于加热给水的重要设备,对火电机组安全经济运行有重要影响。高加水位具有扰动多的特点,导致水位控制难度大。本文基于某600MW火电机组历史大数据平台的高加运行数据进行闭环辨识,得到仿真模型。在辨识建模中,针对辨识输入的简约问题,采用偏最小二乘回归分析方法进行变量筛选,并结合现场实际工程图搭建仿真系统。然后,采用果蝇优化算法对高加水位控制系统进行优化。相对于传统的PID控制,优化控制算法使高加水位更加稳定,面对扰动时波动变小,抗扰动能力得到提升。High pressure heater is an important equipment for heating feedwater in thermal power plants,which has an important impact on the operation of thermal power units.The water level of high pressure heater has many disturbances,which makes the water level control difficult.In this paper,the high pressure heater linear model is obtained by closed-loop identification based on the operation data of the historical big data platform of a 600MW thermal power unit.In the identification modeling,partial least square regression analysis is used to select variables for the simplification of identification input,and a simulation system is built in combination with the actual engineering drawing.Then,the fruit fly optimization algorithm is used to optimize the water level control system of high-pressure heater.Compared with the traditional PID control method,when the advanced control algorithm is adopted,the water level of the high pressure heater is more stable,the fluctuation by disturbances is smaller,and the anti disturbance ability is improved.

关 键 词：高温加热器 水位控制 闭环辨识 果蝇优化算法 

分 类 号：TM621.2[电气工程—电力系统及自动化]