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Nonlinear multivariable hierarchical model predictive control for boiler-turbine system

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  • Kong, Xiaobing
  • Liu, Xiangjie
  • Lee, Kwang Y.

Abstract

Economic optimal control has been a major concern in modern power plant. The HMPC (hierarchical model predictive control) incorporates both the plant-wide economic process optimization and regulatory process control into a hierarchical control structure, in which the model predictive control technology has been an effective tool for solving the higher-layer economic optimization problems. Since the power plants are typically nonlinear multivariable large-scale processes, applications of the HMPC can be computationally extensive and resulting in nonlinear and non-convex optimization problems. Since the power plant dynamics changes with load, fuzzy model representing the local input–output relations of the nonlinear power plant system is incorporated to facilitate the convex QP (quadratic program) routine, and thus realize the HMPC. Detailed analysis on power plant steam-boiler generation system has been made to demonstrate the effectiveness of the proposed nonlinear HMPC.

Suggested Citation

  • Kong, Xiaobing & Liu, Xiangjie & Lee, Kwang Y., 2015. "Nonlinear multivariable hierarchical model predictive control for boiler-turbine system," Energy, Elsevier, vol. 93(P1), pages 309-322.
    • Handle: RePEc:eee:energy:v:93:y:2015:i:p1:p:309-322
    DOI: 10.1016/j.energy.2015.09.030
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    References listed on IDEAS

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    1. Kong, Xiaobing & Abdelbaky, Mohamed Abdelkarim & Liu, Xiangjie & Lee, Kwang Y., 2023. "Stable feedback linearization-based economic MPC scheme for thermal power plant," Energy, Elsevier, vol. 268(C).
    2. Di Jiang & Zhe Dong & Miao Liu & Xiaojin Huang, 2018. "Dynamic Matrix Control for the Thermal Power of MHTGR-Based Nuclear Steam Supply System," Energies, MDPI, vol. 11(10), pages 1-15, October.
    3. Wei Wang & Yang Sun & Sitong Jing & Wenguang Zhang & Can Cui, 2018. "Improved Boiler-Turbine Coordinated Control of CHP Units with Heat Accumulators by Introducing Heat Source Regulation," Energies, MDPI, vol. 11(10), pages 1-15, October.
    4. Jun Wang & Baocang Ding & Ping Wang, 2022. "Modeling and Finite-Horizon MPC for a Boiler-Turbine System Using Minimal Realization State-Space Model," Energies, MDPI, vol. 15(21), pages 1-20, October.
    5. Chandrasekharan, Sreepradha & Panda, Rames C. & Swaminathan, Bhuvaneswari Natrajan & Panda, Atanu, 2018. "Operational control of an integrated drum boiler of a coal fired thermal power plant," Energy, Elsevier, vol. 159(C), pages 977-987.
    6. Zhuo, Xusheng & Lou, Chun & Zhou, Huaichun & Zhuo, Jinxuan & Fu, Peifang, 2018. "Hierarchical Takagi-Sugeno fuzzy hyperbolic tangent static model control for a circulating fluidized bed boiler thermal power unit," Energy, Elsevier, vol. 162(C), pages 910-917.
    7. Zima, Wiesław, 2019. "Simulation of rapid increase in the steam mass flow rate at a supercritical power boiler outlet," Energy, Elsevier, vol. 173(C), pages 995-1005.
    8. Esmaeili, Mohammad & Moradi, Hamed, 2023. "Robust & nonlinear control of an ultra-supercritical coal fired once-through boiler-turbine unit in order to optimize the uncertain problem," Energy, Elsevier, vol. 282(C).
    9. Pires, Thiago S. & Cruz, Manuel E. & Colaço, Marcelo J. & Alves, Marco A.C., 2018. "Application of nonlinear multivariable model predictive control to transient operation of a gas turbine and NOX emissions reduction," Energy, Elsevier, vol. 149(C), pages 341-353.
    10. Gang Zhao & Yuge Sun & Zhi-Gang Su & Yongsheng Hao, 2023. "Receding Galerkin Optimal Control with High-Order Sliding Mode Disturbance Observer for a Boiler-Turbine Unit," Sustainability, MDPI, vol. 15(13), pages 1-19, June.
    11. Hou, Guolian & Gong, Linjuan & Huang, Congzhi & Zhang, Jianhua, 2020. "Fuzzy modeling and fast model predictive control of gas turbine system," Energy, Elsevier, vol. 200(C).
    12. Jia, Xiongjie & Sang, Yichen & Li, Yanjun & Du, Wei & Zhang, Guolei, 2022. "Short-term forecasting for supercharged boiler safety performance based on advanced data-driven modelling framework," Energy, Elsevier, vol. 239(PE).
    13. Zhou, Hong & Chen, Cheng & Lai, Jingang & Lu, Xiaoqing & Deng, Qijun & Gao, Xingran & Lei, Zhongcheng, 2018. "Affine nonlinear control for an ultra-supercritical coal fired once-through boiler-turbine unit," Energy, Elsevier, vol. 153(C), pages 638-649.

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