摘要
大型火力发电机组脱硝系统被控对象具有大迟延、大惯性、受干扰因素多以及不同负荷下的被控对象模型变化大等特性,传统的PID控制不能满足控制要求。为解决这一问题,利用递推最小二乘法(recursive least square,RLS)建立了脱硝系统模型,并基于阶梯式广义预测控制算法构建了脱硝系统优化控制策略,同时将该策略应用于依托电厂。实践结果表明:无论是稳态工况还是复杂的变负荷工况,脱硝优化控制策略都能够很好地控制脱硝系统出口NOx浓度,大大降低了NOx浓度的波动,减少了尿素使用量,实现了脱硝系统稳定经济运行。
The control object of denitration system of large-scale fossil fired power unit has the characteristics of large delay,large inertia,lots of interference factors and large changes of object model under different loads,and the traditional PID control cannot meet the control requirements.In order to solve this problem,the model of denitration system is established by using recursive least square(RLS),and the optimal control strategy of denitration system is constructed based on the stair-like generalized predictive control.At the same time,the strategy is applied to a power plant.The results show that under steady loads or complex variable loads,the optimal denitration control strategy can control the NOx concentration at the outlet of denitration system well,greatly reduce the fluctuation of NOx concentration,reduce the use of urea,and realize the stable and economic operation of denitration system.
作者
俞基安
杜伟
胡勇
顾徐鹏
吕春俊
侯新建
YU Ji’an;DU Wei;HU Yong;GU Xupeng;LYU Chunjun;HOU Xinjian(China Energy Jiangsu Power Co., Ltd., Nanjing 210036, China;Beijing Guodian Zhishen Control Technology Co., Ltd., Beijing 102299, China;State Key Labratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University, Beijing 102200, China;East China Electric Power Design Institute Co., Ltd of China Power Engineering Consulting Group, Shanghai 200063, China;China Energy Group Suqian Power Generation Co., Ltd., Suqian 223800, China)
出处
《锅炉技术》
北大核心
2020年第4期7-14,共8页
Boiler Technology
关键词
火力发电机组
脱硝系统
优化控制
阶梯式广义预测控制
出口NOx
fossil fired unit
denitration system
optimize control
stair-like generalized predictive control
outlet NOx
