文献类型：期刊文献

英文题名：Robust control and flexible operation for commercial-scale coal-fired power plant with solvent-based post-combustion carbon capture

作者：Liao, Peizhi[1];Wu, Xiao[2];Wang, Meihong[1,3];Li, Zhongmei[1];Qian, Feng[1]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Southeast Univ, Minist Educ, Key Lab Energy Thermal Convers & Control, Nanjing 210096, Peoples R China;[3]Univ Sheffield, Dept Chem & Biol Engn, Sheffield S1 3JD, England

年份：2023

卷号：123

外文期刊名：INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL

收录：;EI(收录号：20230213375883);WOS:【SCI-EXPANDED(收录号:WOS:000923473900001)】；

基金：The authors would like to acknowledge the National Key Research & Development Program-Intergovernmental International Science and Technology Innovation Cooperation Project (2021YFE0112800) , National Natural Science Foundation of China (Basic Science Center Program: 61988101, National Natural Science Foundation of China under Grants 51976030 and Carbon Peak -Carbon Neutralization Science and Technology Innovation Project of Jiangsu Province under Grant BE2022602 for supporting this work.

语种：英文

外文关键词：Post -combustion carbon capture; Chemical absorption; Coal-fired power plant; Flexible operation; Model predictive control; Disturbance rejection

摘要：Coal-fired power plant integrated with post-combustion carbon capture (CFPP-PCC) process exhibits strong nonlinearity and multi-variable connections. These dynamics along with unknown disturbances make it a challenging task to realize robust control and flexible operation in CFPP-PCC system. For this reason, this paper develops an extended state observer based stable model predictive control (ESOSMPC) in order to reject un-known disturbances and to achieve flexible operation with closed-loop stability. In the proposed control struc-ture, an extended state observer is utilized to give accurate estimation for plant behavior change and unknown disturbances. This information will be used in active disturbance rejection, which aims to alleviate negative effects of disturbances and to enhance control performance. Stable model predictive control with infinite input-output based objective function is developed in order to fulfill Lyapunov stability condition, guaranteeing a stable operation for the integrated process. The proposed controller is compared with conventional MPC/PID controller under varying working conditions. Simulation results show that the presented ESOSMPC is able to achieve robust control in a multi-disturbance situation and to attain flexible operation in a broad-range load variation scenario.