Data-driven proportional integral for primary frequency modulation control of gas turbines

Aimin Gao; Xiaobo Cui; Jianjun Shu; Guoqiang Yu; Xiaolong Yang; Tianhai Zhang; Weiqing Zhang; Xinyu Xiao

doi:10.1117/12.2679940

18 July 2023 Data-driven proportional integral for primary frequency modulation control of gas turbines

Aimin Gao, Xiaobo Cui, Jianjun Shu, Guoqiang Yu, Xiaolong Yang, Tianhai Zhang, Weiqing Zhang, Xinyu Xiao

Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 1272236 (2023) https://doi.org/10.1117/12.2679940
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China

Abstract

Due to the advantages of cleanness, high efficiency and rapid start-up, gas turbines play an important role in peak shaving and frequency modulation in China's power supply. The primary frequency modulation capability of gas turbines is of great significance to the safe operation and frequency stability of the power grid. To handle the control challenges of gas turbine primary frequency modulation, such as loop coupling and large overshoot, a data-driven proportional-integral (PI) control strategy is proposed for the gas turbine primary frequency modulation system, and a reasonable parameter tuning method is provided. The stability of data-driven PI is discussed by analyzing the distributions of data-driven PI parameter in the stability region. Finally, the proposed method is applied to the primary frequency modulation control of a typical heavy-duty gas turbine unit. The simulation results show that the gas turbine unit with the proposed method can obtain the best control performance of the primary frequency modulation with good robustness. The proposed method also has good practical application potential.

Citation Download Citation

Aimin Gao, Xiaobo Cui, Jianjun Shu, Guoqiang Yu, Xiaolong Yang, Tianhai Zhang, Weiqing Zhang, and Xinyu Xiao "Data-driven proportional integral for primary frequency modulation control of gas turbines", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 1272236 (18 July 2023); https://doi.org/10.1117/12.2679940

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