Department of Automation, Shanghai Jiao Tong University, and the Key Laboratory of System Control and Information Processing, Ministry of Education of China, Dongchuan Road 800, Minhang District, Shanghai 200240, China.
ISA Trans. 2018 May;76:43-56. doi: 10.1016/j.isatra.2018.03.004. Epub 2018 Mar 12.
The coordinated control system (CCS) serves as an important role in load regulation, efficiency optimization and pollutant reduction for coal-fired power plants. The CCS faces with tough challenges, such as the wide-range load variation, various uncertainties and constraints. This paper aims to improve the load tacking ability and robustness for boiler-turbine units under wide-range operation. To capture the key dynamics of the ultra-supercritical boiler-turbine system, a nonlinear control-oriented model is developed based on mechanism analysis and model reduction techniques, which is validated with the history operation data of a real 1000 MW unit. To simultaneously address the issues of uncertainties and input constraints, a discrete-time sliding mode predictive controller (SMPC) is designed with the dual-mode control law. Moreover, the input-to-state stability and robustness of the closed-loop system are proved. Simulation results are presented to illustrate the effectiveness of the proposed control scheme, which achieves good tracking performance, disturbance rejection ability and compatibility to input constraints.
协调控制系统（CCS）在火电机组的负荷调节、效率优化和减少污染物排放方面发挥着重要作用。CCS 面临着范围广泛的负荷变化、各种不确定性和约束等艰巨挑战。本文旨在提高宽运行范围下锅炉-汽轮机机组的负荷跟踪能力和鲁棒性。为了捕捉超超临界锅炉-汽轮机系统的关键动态特性，基于机理分析和模型降阶技术，开发了一个非线性控制导向模型，并通过实际 1000MW 机组的历史运行数据进行了验证。为了同时解决不确定性和输入约束问题，设计了具有双模控制律的离散时间滑模预测控制器（SMPC）。此外，还证明了闭环系统的输入状态稳定性和鲁棒性。给出了仿真结果，以验证所提出控制方案的有效性，该方案实现了良好的跟踪性能、抗扰能力和对输入约束的兼容性。
