Adaptive Modified Active Disturbance Rejection Control for the Superheated Steam Temperature System Under Wide Load Conditions

The operation of the superheated steam temperature system significantly impacts the safety and economy of thermal power units. To ensure its stable operation under large-scale variable load conditions, a modified active disturbance rejection control strategy based on parameter adaptation is proposed. Firstly, a typical superheated steam temperature system model is introduced, and the cascade control structure is applied to the model. Then, on this basis, a modified active disturbance rejection control strategy based on parameter adaptation is proposed, and the parameter tuning method of the modified active disturbance rejection control is introduced. Finally, the control performance of the proposed control strategy under a wide range of variable loads is verified through comparative simulations under nominal working conditions and uncertain working conditions. To further illustrate the effectiveness of the proposed strategy, the method is applied to a certain 660 MW unit in the field. After implementing the method, the fluctuation range of superheated steam temperature on the A and B sides decreased to only 34.0% and 53.0% of the original, respectively, and the fluctuation variance on the A and B sides decreased to only 28.5% and 43.3% of the original, respectively. The above field application results fully demonstrate that the control strategy proposed does not merely remain at the theoretical simulation level, but is a key technical means that can be effectively implemented and effectively solve the problem of superheated steam temperature control in thermal power units.

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Publication Details

Journal
Processes
Published
2026-01-15
DOI
https://doi.org/10.3390/pr14020308
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
0.00

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Adaptive Modified Active Disturbance Rejection Control for the Superheated Steam Temperature System Under Wide Load Conditions

Yanfeng Jia, Haobo Wang, Hongtao Zheng, Zhenlong Wu et al.
Processes
Frequency Control in Power Systems
article

Adaptive Modified Active Disturbance Rejection Control for the Superheated Steam Temperature System Under Wide Load Conditions

Yanfeng Jia, Haobo Wang, Hongtao Zheng, Zhenlong Wu, Zihao Tong, Bing Li
article en

Abstract

The operation of the superheated steam temperature system significantly impacts the safety and economy of thermal power units. To ensure its stable operation under large-scale variable load conditions, a modified active disturbance rejection control strategy based on parameter adaptation is proposed. Firstly, a typical superheated steam temperature system model is introduced, and the cascade control structure is applied to the model. Then, on this basis, a modified active disturbance rejection control strategy based on parameter adaptation is proposed, and the parameter tuning method of the modified active disturbance rejection control is introduced. Finally, the control performance of the proposed control strategy under a wide range of variable loads is verified through comparative simulations under nominal working conditions and uncertain working conditions. To further illustrate the effectiveness of the proposed strategy, the method is applied to a certain 660 MW unit in the field. After implementing the method, the fluctuation range of superheated steam temperature on the A and B sides decreased to only 34.0% and 53.0% of the original, respectively, and the fluctuation variance on the A and B sides decreased to only 28.5% and 43.3% of the original, respectively. The above field application results fully demonstrate that the control strategy proposed does not merely remain at the theoretical simulation level, but is a key technical means that can be effectively implemented and effectively solve the problem of superheated steam temperature control in thermal power units.

ProcessesVol. 14(2)
Zhengzhou University (CN), Henan Energy & Chemical Industry Group (China) (CN), Huaneng Clean Energy Research Institute (CN), Shanghai Electric (China) (CN), Zhengzhou Institute of Machinery (CN), Taiyuan University of Technology (CN), Tsinghua University (CN)
Zhengzhou University, Natural Science Foundation of Henan Province
Affordable and clean energy
Openalex Percentile: Top 87%
Frequency Control in Power Systems
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