火电厂SCR烟气脱硝系统建模与运行优化仿真  

SCR Denitration System Modeling and Operation Optimization Simulation for Thermal Power Plant

作　　者：秦天牧 刘吉臻 杨婷婷 张维 

机构地区：[1]新能源电力系统国家重点实验室(华北电力大学),北京市昌平区102206

出　　处：《中国电机工程学报》2016年第10期2699-2703,共5页Proceedings of the CSEE

基　　金：国家重点基础研究发展计划项目(973计划)(2012CB215203);中央高校基本科研业务费专项资金项目(2015XS69;2016MS47)~~

摘　　要：选择性催化还原(selective catalytic reduction,SCR)是火电厂目前普遍采用的烟气脱硝方法,脱硝系统的喷氨量不仅影响烟气脱硝的效率,同时过量喷氨也会增加氨逃逸量,对环境造成污染。SCR系统反应过程复杂,具有非线性、大惯性等特点,传统PID控制方法无法实现喷氨量的精确控制。文中利用多尺度核偏最小二乘(multiscale kernel partial least squares,MKPLS)方法建立了SCR系统模型。仿真结果表明,MKPLS模型具有较高的准确性和较强的泛化能力。将SCR模型与模型预测控制方法结合应用于喷氨量的优化控制。实验结果表明,与传统PID控制方法相比,此方法实现了喷氨量的精确控制,在提高脱硝率的同时避免了过量喷氨。Selective catalytic reduction（SCR） method is widely used for flue gas denitration of thermal power plants.Spraying ammonia flow can affect the efficiency of flue gas denitration.Excess ammonia injection will result in higher rates of ammonia slip which will cause pollution.Reaction processes of SCR systems are very complex and SCR system has the characteristics of nonlinear and large inertia.Therefore,it is difficult for the traditional PID control methods to achieve precise control of the amount of ammonia injection.Multi-scale kernel partial least squares（MKPLS） modeling method was employed to development SCR system model.The simulation results show that the model has high accuracy and the generalization ability of the model is good.In order to achieve the optimal control of the ammonia injection,model predictive control method is combined with the MKPLS model.Experimental results show that comparing with traditional PID control this method achieves the accurate control of the amount of ammonia and improves the denitration rate as well as avoids excessive ammonia injection.

关 键 词：选择性催化还原 烟气脱硝 核偏最小二乘 最优控制 数据建模 

分 类 号：TK39[动力工程及工程热物理—热能工程]