Multiobjective economic model predictive control using utopia-tracking for the wet flue gas desulphurization system

作     者：Shan Liu Wenqi Zhong Xi Chen Li Sun Lukuan Yang Shan Liu;Wenqi Zhong;Xi Chen;Li Sun;Lukuan Yang

作者机构：Key Laboratory of Energy Thermal Conversion and Control of 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：2023年第54卷第2期

页      面：343-352页

核心收录：

学科分类：0402[教育学-心理学(可授教育学、理学学位）] 0303[法学-社会学] 0711[理学-系统科学] 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：supported by the National Key Research and Development Program of China (2017YFB0601805)。 

主　　题：Desulphurization system Economics Economic model predictive control Flue gas Optimization Utopia point 

摘      要：Efficient control of the desulphurization system is challenging in maximizing the economic objective while reducing the SO_(2) emission concentration. The conventional optimization method is generally based on a hierarchical structure in which the upper optimization layer calculates the steady-state results and the lower control layer is responsible to drive the process to the target point. However, the conventional hierarchical structure does not take the economic performance of the dynamic tracking process into account. To this end, multi-objective economic model predictive control(MOEMPC) is introduced in this paper, which unifies the optimization and control layers in a single stage. The objective functions are formulated in terms of a dynamic horizon and to balance the stability and economic performance. In the MOEMPC scheme, economic performance and SO_(2) emission performance are guaranteed by tracking a set of utopia points during dynamic transitions. The terminal penalty function and stabilizing constraint conditions are designed to ensure the stability of the system. Finally, an optimized control method for the stable operation of the complex desulfurization system has been established. Simulation results demonstrate that MOEMPC is superior over another control strategy in terms of economic performance and emission reduction, especially when the desulphurization system suffers from frequent flue gas disturbances.