摘要
针对某350MW超临界CFB机组,从机理分析出发,研究了给煤系统、炉膛热量释放、汽水加热系统和汽轮机系统的动态过程,建立了负荷控制系统模型,并通过稳态工况推导、回归分析和粒子群算法实现了模型参数的辨识和部分未知函数关系的确定。基于实际运行数据,验证了模型的准确性,并在Simulink仿真平台上进行了模型阶跃试验。结果表明:模型输出与实际输出具有良好的一致性,所建立的模型能准确反映机组的运行特性,可以满足各种控制算法的设计要求,为超临界CFB机组负荷控制系统的设计提供了理论基础。
Taking a 350 MW supercritical CFB unit as an object of study,a model of load control system was established for the unit by studying the dynamic process of its coal feeding system,furnace heat release,steam-water system and steam turbine system based on mechanism analysis,and subsequently the identification of model parameters and the determination of partial unknown functions were realized by steady-state recognition,regression analysis and particle swarm optimization.Using actual operation data of the power plant,the model accuracy was verified and the model step tests were carried out on the Simulink simulation platform.Results show that the model output agrees well with actual output,indicating that the model can accurately reflect the operation characteristics of the unit,which is able to meet the design requirements of various control algorithms,thus providing a theoretical basis for the design of load control systems for supercritical CFB units.
作者
严国栋
洪烽
高明明
陈峰
YAN Guodong;HONG Feng;GAO Mingming;CHEN Feng(State Key Lab of Alternate Electric Power System with Renewable Energy Sources. North ChinaElectric Power University,Beijing 102206,China;Beijing Guodian Zhishen Control Technology Co.,Ltd. ,Beijing 102203,China)
出处
《动力工程学报》
CAS
CSCD
北大核心
2019年第1期17-24,共8页
Journal of Chinese Society of Power Engineering
基金
国家重点研发计划资助项目(2016YFB0600205)
中央高校基本科研业务费专项资金资助项目(2018ZD05)
关键词
超临界机组
CFB锅炉
负荷控制系统
动态模型
参数辨识
supercritical unit
CFB boiler
load control system
dynamic model
parameter identification
