摘要
往复式炉排的自动燃烧控制(ACC)系统是生活垃圾焚烧炉的核心,是垃圾发电厂成为智慧电厂所不可或缺的组成部分。为了实现垃圾发电厂的运行智能化、提升运行经济性,对ACC系统进行了研究和设计。通过对垃圾发电厂燃烧过程的机理分析,以及对以往国外ACC系统的研究,结合国内实际运行经验,创新性地提出了一种针对炉排燃烧过程的自适应调整方式。对燃烧系统进行数据分析和挖掘。以负荷和氧量作为目标值、炉温作为目标范围,采用渐进预估补偿的方式,利用多维变量的整体变化趋势作为目标值动态变更依据,实现对炉排系统侧的控制。在此基础上,进一步对风系统侧作协调适应调整,从而消除垃圾焚烧过程的大延迟、大滞后影响;同时,加入了多变量拟合下的层厚软测量值作为修正,以实现全自动运行。ACC系统的实际应用提升了全厂智能化水平、提高了蒸汽产量、提升了经济效益。多变量控制方式对其他火电燃烧的优化有一定的借鉴。
The automatic combustion control(ACC)system of reciprocating grate is the core of the domestic waste incinerator,is an indispensable part of the waste power plant to become a smart power plant.To realize the intelligent operation of the waste power plant as well as to improve the operation economy,the ACC system has been studied and designed.By analyzing the mechanism of the combustion process in waste power plants,as well as the previous research on foreign ACC systems,and combining with the actual operation experience in China,an adaptive adjustment method for the grate combustion process is innovatively proposed.The combustion system is analyzed and mined by datas.Taking load and oxygen as the target values and furnace temperature as the target range,the control of the grate system side is realized by adopting the way of progressive prediction compensation and using the overall change trend of multi-dimensional variables as the basis for dynamic change of target values.On this basis,further coordinated adaptive adjustment is made to the wind system side so as to eliminate the influence of large delay and large hysteresis of the waste incineration process;at the same time,the soft measured value of the layer thickness under the multivariate fitting is added as a correction in order to realize the fully automated operation.The practical application of the ACC system enhances the intelligent level of the whole plant,improves the steam output,and enhances the economic efficiency.The multivariate control approach has some applicability to the optimization of other thermal power combustion.
作者
卫鑫
王富有
袁海锋
WEI Xin;WANG Fuyou;YUAN Haifeng(Jiangsu Key Laboratory of Intelligent Control of Thermal Process,Nanjing 210000,China;,Nanjing Sciyon Wisdom Technology Group Co.,Ltd.,Nanjing 210000,China)
出处
《自动化仪表》
CAS
2024年第6期33-37,43,共6页
Process Automation Instrumentation
关键词
垃圾焚烧
过程控制
优化控制
自适应调整
炉排控制
多变量控制
软测量
预估控制
Waste incineration
Process control
Optimal control
Adaptive adjustment
Grate control
Multivariable control
Soft measure
Predictive control