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作 者:Shan Liu Wenqi Zhong Xi Chen Li Sun Lukuan Yang
出 处:《Chinese Journal of Chemical Engineering》2023年第2期343-352,共10页中国化学工程学报(英文版)
基 金:supported by the National Key Research and Development Program of China (2017YFB0601805)。
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.
关 键 词:Desulphurization system Economics Economic model predictive control Flue gas Optimization Utopia point
分 类 号:X701.3[环境科学与工程—环境工程]
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