基于模型预测控制算法的脱硫控制系统优化  

Optimization of desulphurization control system based on model predictive control algorithm

作　　者：陈长和 陈朝晔 姜志伟 冯晓露[2] 蒋鹏飞[2] CHEN Changhe;CHEN Zhaoye;JIANG Zhiwei;FENG Xiaolu;JIANG Pengfei(Zhejiang Wenzhou Power Generation Co.,Ltd.,Wenzhou,Zhejiang 325000,China;School of Energy Engineering,Zhejiang University,Hangzhou 310027,China)

机构地区：[1]浙江浙能温州发电有限公司,浙江温州325000 [2]浙江大学能源工程学院,杭州310027

出　　处：《浙江电力》2023年第7期94-101,共8页Zhejiang Electric Power

摘　　要：为了提升火电厂湿法脱硫系统的自动化控制水平,针对浙江温州电厂6号机组脱硫装置原自动控制系统控制效果差、自动投入率低、无法对净烟气SO_(2)浓度进行控制等问题,设计了一种基于多变量模型预测控制算法的控制方案,将净烟气SO_(2)浓度和吸收塔浆液pH值同时列为被控变量,并建立了以锅炉负荷为调度变量的脱硫系统线性变参数模型。在Simulink中对改进后的脱硫控制方案进行了仿真试验,并将该控制方案应用在6号机组的脱硫控制优化改造中。实际投运效果表明,该脱硫控制系统可以将吸收塔浆液pH值平稳地控制在安全区间内,同时将净烟气SO_(2)浓度时均值与设定值的偏差控制在±2 mg/m~3(标准状况下)内,保证了脱硫装置的安全高效运行。In order to improve the automatic control level of wet desulphurization system in thermal power plant,aiming at the problems of poor control effect,low automation degree,and inability to control the SO_(2) concentration of the original automatic control system of No.6 desulphurization unit in Zhejiang Wenzhou Power Plant,an advanced con-trol scheme based on multivariable model predictive control algorithm is designed.The concentration of SO_(2) and pH value of absorber slurry are both listed as controlled variables,and a linear variable parameter model of desulphuriza-tion system with boiler load as scheduling variable is established.The desulphurization control scheme is preliminarily verified in Simulink simulation,and then applied in the desulphurization control optimization of No.6 unit.The actual operation effects show that the pH value can also be stably controlled within the allowable range by this advanced desulphurization control system,and the deviation between the hourly mean value of SO_(2) concentration and the set value is within±2 mg/m^(2),which ensures the safe and efficient operation of the desulphurization equipment.

关 键 词：烟气湿法脱硫系统自动控制 模型预测控制 线性变参数模型 净烟气SO_(2)浓度控制 吸收塔浆液pH值控制 

分 类 号：X773[环境科学与工程—环境工程]