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Extended-state Kalman filter-based model predictive control and energy-saving performance analysis of a coal-fired power plant

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  • Guo, Mengmeng
  • Hao, Yongsheng
  • Lee, Kwang Y.
  • Sun, Li

Abstract

Faced with the high penetration of renewable energy sources, coal-fired power plants (CFPPs) are confronted with flexible requirements and the challenge of energy-saving transformation. To this end, this study introduces an extended-state Kalman filter (ESKF)-based model predictive control (MPC) strategy to optimize control and energy-saving in a CFPP. A nonlinear model is developed and its accuracy is validated using field data. The modelling uncertainties and unquantifiable disturbances beyond the nominal are modeled as a constrained extended state, estimated by ESKF. The MPC design is crafted to incorporate ESKF's joint estimation, effectively addressing uncertainties and constraints. In addition, a dynamic exergy method is developed to introduce energy-saving performance indicators. Case simulation results demonstrate ESKF-MPC's substantial improvement over the field controller in the IAE index for power and pressure control by 45.3 % and 59.3 %. Additionally, ESKF-MPC enhances the average exergy efficiency by 1.8 % across various loads, highlighting its energy-saving capabilities. Under parameter perturbation, the ESKF-MPC significantly outperforms the PID controller and KF-MPC in dual-loop control, achieving an 81.0 % and 85.2 % improvement in the IAE index. Simulation of varying ramp scenarios reveal that higher ramp rates worsen energy-saving performance during load ascents, but unexpectedly improve it during load reductions, reflecting the asynchronous trend of control and energy-saving performance.

Suggested Citation

  • Guo, Mengmeng & Hao, Yongsheng & Lee, Kwang Y. & Sun, Li, 2025. "Extended-state Kalman filter-based model predictive control and energy-saving performance analysis of a coal-fired power plant," Energy, Elsevier, vol. 314(C).
    • Handle: RePEc:eee:energy:v:314:y:2025:i:c:s0360544224039471
    DOI: 10.1016/j.energy.2024.134169
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    as
    1. Kim, Donghun & Wang, Zhe & Brugger, James & Blum, David & Wetter, Michael & Hong, Tianzhen & Piette, Mary Ann, 2022. "Site demonstration and performance evaluation of MPC for a large chiller plant with TES for renewable energy integration and grid decarbonization," Applied Energy, Elsevier, vol. 321(C).
    2. Jing-Li Fan & Jingying Fu & Xian Zhang & Kai Li & Wenlong Zhou & Klaus Hubacek & Johannes Urpelainen & Shuo Shen & Shiyan Chang & Siyue Guo & Xi Lu, 2023. "Co-firing plants with retrofitted carbon capture and storage for power-sector emissions mitigation," Nature Climate Change, Nature, vol. 13(8), pages 807-815, August.
    3. Ryna Yiyun Cui & Nathan Hultman & Diyang Cui & Haewon McJeon & Sha Yu & Morgan R. Edwards & Arijit Sen & Kaihui Song & Christina Bowman & Leon Clarke & Junjie Kang & Jiehong Lou & Fuqiang Yang & Jiaha, 2021. "A plant-by-plant strategy for high-ambition coal power phaseout in China," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    4. Liu, Zefeng & Wang, Chaoyang & Fan, Jianlin & Liu, Ming & Xing, Yong & Yan, Junjie, 2024. "Enhancing the flexibility and stability of coal-fired power plants by optimizing control schemes of throttling high-pressure extraction steam," Energy, Elsevier, vol. 288(C).
    5. Ploy Achakulwisut & Peter Erickson & Céline Guivarch & Roberto Schaeffer & Elina Brutschin & Steve Pye, 2023. "Global fossil fuel reduction pathways under different climate mitigation strategies and ambitions," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    6. Jing-Li Fan & Zezheng Li & Xi Huang & Kai Li & Xian Zhang & Xi Lu & Jianzhong Wu & Klaus Hubacek & Bo Shen, 2023. "A net-zero emissions strategy for China’s power sector using carbon-capture utilization and storage," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    7. Çetin, Gürcan & Özkaraca, Osman & Keçebaş, Ali, 2021. "Development of PID based control strategy in maximum exergy efficiency of a geothermal power plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    8. 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).
    9. Ibrahim Harbi & Mohamed Abdelrahem & Mostafa Ahmed & Ralph Kennel, 2020. "Reduced-Complexity Model Predictive Control with Online Parameter Assessment for a Grid-Connected Single-Phase Multilevel Inverter," Sustainability, MDPI, vol. 12(19), pages 1-23, September.
    10. Yan, Hui & Liu, Ming & Chong, Daotong & Wang, Chaoyang & Yan, Junjie, 2021. "Dynamic performance and control strategy comparison of a solar-aided coal-fired power plant based on energy and exergy analyses," Energy, Elsevier, vol. 236(C).
    11. Elsisi, Mahmoud & Bazmohammadi, Najmeh & Guerrero, Josep M. & Ebrahim, Mohamed A., 2021. "Energy management of controllable loads in multi-area power systems with wind power penetration based on new supervisor fuzzy nonlinear sliding mode control," Energy, Elsevier, vol. 221(C).
    12. Halhoul Merabet, Ghezlane & Essaaidi, Mohamed & Ben Haddou, Mohamed & Qolomany, Basheer & Qadir, Junaid & Anan, Muhammad & Al-Fuqaha, Ala & Abid, Mohamed Riduan & Benhaddou, Driss, 2021. "Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    13. Nikki Forrester, 2024. "Catching the rays: my part in Morocco’s renewable-energy revolution," Nature, Nature, vol. 626(8001), pages 1156-1156, February.
    14. Wu, Xiao & Wang, Meihong & Shen, Jiong & Li, Yiguo & Lawal, Adekola & Lee, Kwang Y., 2019. "Reinforced coordinated control of coal-fired power plant retrofitted with solvent based CO2 capture using model predictive controls," Applied Energy, Elsevier, vol. 238(C), pages 495-515.
    15. Stanger, Lukas & Bartik, Alexander & Hammerschmid, Martin & Jankovic, Stefan & Benedikt, Florian & Müller, Stefan & Schirrer, Alexander & Jakubek, Stefan & Kozek, Martin, 2024. "Model predictive control of a dual fluidized bed gasification plant," Applied Energy, Elsevier, vol. 361(C).
    16. Fang, Xiande & Xu, Yu, 2011. "Development of an empirical model of turbine efficiency using the Taylor expansion and regression analysis," Energy, Elsevier, vol. 36(5), pages 2937-2942.
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