摘要
针对华能太仓电厂600 MW超临界机组存在负荷升降速率低、关键参数波动大及系统不能很好适应煤种变化等实际问题,通过有机融合预测控制技术、神经网络学习技术及自适应控制技术,提出了现代火电机组AGC控制的先进解决方案,研制了AGC实时优化控制装置INFIT,实际应用表明:即使在煤种变化的情况下,INFIT均能成功地将AGC的负荷升降速率提高到2.0%/min以上,并能有效地减小主汽压力、各级汽温、给煤量及给水量等关键参数的波动,确保了大型火电机组的安全、稳定及高效运行。
Considering the practical problems in 600 MW supercritical power units of Huaneng Taichang Power Plant,such as low load changing rate,large fluctuation of the key parameters and low adaption capability to the coal type change,the advanced AGC control solution scheme of the modern thermal power unit is proposed and the AGC real-time optimal control device INFIT is developed through organic integration of predictive control technology,neural network technology and adaptive control technology.The practical application shows that the INFIT can successfully raise the AGC load changing rate up to more than 2.0%/min even in the coal changing condition;besides,the fluctuation of the key parameters is decreased efficiently,including the main steam pressure,multistage steam temperature,coal feed quantity and water feed quantity,which ensure the safe,stable and efficient operation of the large thermal power unit.
出处
《华东电力》
北大核心
2011年第1期153-156,共4页
East China Electric Power
关键词
超临界机组
自动发电控制
协调控制系统
预测控制
自适应控制
supercritical power unit
automatic power generation control
coordinated control system
predictive control
adaptive control
