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Main steam temperature prediction and control system for coal-fired units based on hyperparameter transfer modeling
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Bijun ZHENG1, 2, Shanhui ZHU2, Bin ZHANG2, Jianguo YANG1
Thermal Power Generation | 2026, 55(5) : 90 - 98
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Thermal Power Generation | 2026, 55(5): 90-98
• Low-carbon thermal power and nuclear power generation technology •
Main steam temperature prediction and control system for coal-fired units based on hyperparameter transfer modeling
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Bijun ZHENG1, 2, Shanhui ZHU2, Bin ZHANG2, Jianguo YANG1
Affiliations
  • 1.State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China
  • 2.Zhejiang Zheneng Taizhou Second Electric Power Generation Co., Ltd., Taizhou 317108, China
Published: 2026-05-25 doi: 10.19666/j.rlfd.202510020
Outline
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Main steam temperature is a key parameter for the boiler of coal-fired power plants. It is difficult to remain stable under extreme load changes such as deep peak-shaving. To solve this problem, a predictive control model is added to the existing temperature loop. The proposed control system targets an ultra-supercritical boiler. A hybrid long short-term memory (LSTM) network forms the core predictor of the predictive model. A hyper parameter transfer method speeds up global optimization, avoids local optima and cuts optimization calculation amount by 88%. The predictive model gives a root-mean-square error of 0.495 ℃ and a mean absolute percentage error of 0.082%. MATLAB simulations show that the predictive control system reduces peak overshoot by 50% under extreme conditions, while preserving the control-loop stability during normal operation through multi-condition piecewise control. These results demonstrate that the proposed model predictive control system satisfies the main steam temperature regulation requirements across all operating conditions.

main steam temperature  /  predictive control  /  hyperparameter transfer  /  global optimization  /  piecewise control
Bijun ZHENG, Shanhui ZHU, Bin ZHANG, Jianguo YANG. Main steam temperature prediction and control system for coal-fired units based on hyperparameter transfer modeling[J]. Thermal Power Generation, 2026 , 55 (5) : 90 -98 . DOI: 10.19666/j.rlfd.202510020
Funding
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  • Fundamental Research Funds for the Central Universities(2022ZFJH04)
Appendix
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Year 2026 volume 55 Issue 5
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Article Info
doi: 10.19666/j.rlfd.202510020
  • Receive Date：2025-10-14
  • Online Date：2026-08-14
  • Published：2026-05-25
Article Data
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History
  • Received：2025-10-14
  • Revised：2025-11-04
  • Accepted：2025-11-18
Funding
Fundamental Research Funds for the Central Universities(2022ZFJH04)
Affiliations
    1.State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China
    2.Zhejiang Zheneng Taizhou Second Electric Power Generation Co., Ltd., Taizhou 317108, China
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