Dynamic optimization oriented modeling and nonlinear model predictive control of the wet limestone FGD system

作     者：Lukuan Yang Wenqi Zhong Li Sun Xi Chen Yingjuan Shao Lukuan Yang;Wenqi Zhong;Li Sun;Xi Chen;Yingjuan Shao

作者机构：Key Laboratory of Energy Conversion and Process Measurement and Control Ministry of EducationSchool of Energy and EnvironmentSoutheast UniversityNanjing 210096China 

出 版 物：《Chinese Journal of Chemical Engineering》 (中国化学工程学报（英文版）)

年 卷 期：2020年第28卷第3期

页      面：832-845页

核心收录：

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 08[工学] 

基　　金：Financial support from the National Key R&D Program of China(No.2017YFB0601805) 

主　　题：Wet limestone flue gas desulphurization(WFGD)system Modeling Nonlinear model predictive control(NMPC) Multi-objective optimization 

摘      要：Nonlinear model predictive control(NMPC)scheme is an effective method of multi-objective optimization control in complex industrial *** this paper,a NMPC scheme for the wet limestone flue gas desulphurization(WFGD)system is proposed which provides a more flexible framework of optimal control and decision-making compared with PID *** first,a mathematical model of the FGD process is deduced which is suitable for NMPC *** equipoise the model’s accuracy and conciseness,the wet limestone FGD system is separated into several *** on the conservation laws,a model with reasonable simplification is developed to describe dynamics of different modules for the purpose of controller ***,by addressing economic objectives directly into the NMPC scheme,the NMPC controller can minimize economic cost and track the set-point *** accuracy of model is validated by the field data of a 1000 MW thermal power plant in Henan Province,*** simulation results show that the NMPC strategy improves the economic performance and ensures the emission requirement at the same *** the meantime,the control scheme satisfies the multiobjective control requirements under complex operation conditions(e.g.,boiler load fluctuation and set point variation).The mathematical model and NMPC structure provides the basic work for the future development of advanced optimized control algorithms in the wet limestone FGD systems.