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Multi-Objective Sensitivity Analysis of Hydraulic–Mechanical–Electrical Parameters for Hydropower System Transient Response

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  • Yongjia Li

    (Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Xianyang 712100, China
    Institute of Water Resources and Hydropower Research, Northwest A&F University, Xianyang 712100, China)

  • Yixuan Guo

    (Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Xianyang 712100, China
    Institute of Water Resources and Hydropower Research, Northwest A&F University, Xianyang 712100, China)

  • Ming Li

    (Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Xianyang 712100, China
    Institute of Water Resources and Hydropower Research, Northwest A&F University, Xianyang 712100, China)

  • Liuwei Lei

    (Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Xianyang 712100, China
    Institute of Water Resources and Hydropower Research, Northwest A&F University, Xianyang 712100, China)

  • Huaming Hu

    (Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Xianyang 712100, China
    Institute of Water Resources and Hydropower Research, Northwest A&F University, Xianyang 712100, China)

  • Diyi Chen

    (Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Xianyang 712100, China
    Institute of Water Resources and Hydropower Research, Northwest A&F University, Xianyang 712100, China)

  • Ziwen Zhao

    (Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Xianyang 712100, China
    Institute of Water Resources and Hydropower Research, Northwest A&F University, Xianyang 712100, China)

  • Beibei Xu

    (Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Xianyang 712100, China
    Institute of Water Resources and Hydropower Research, Northwest A&F University, Xianyang 712100, China)

Abstract

Hydropower’s ability to start up and shut down quickly, combined with its flexible regulation characteristics, effectively alleviates frequency fluctuations caused by new energy sources, ensuring the safe and stable operation of the power system. However, during peak-frequency regulation tasks, the transition processes associated with the startup, shutdown, and load changes introduce frequent shocks to subsystems such as the hydro-turbine, governor, and diversion systems. These shocks pose significant challenges to the safe and stable operation of hydropower plants. Therefore, this study constructs a coupled hydraulic–mechanical–electrical model that incorporates the diversion system, hydro-turbine, governor, generator, and load, based on operational data from a real-world hydropower plant in China. The load increase transition process is selected for parameter sensitivity analysis to evaluate the influence of various structural, operational, and control parameters on unit stability and to identify key parameters affecting stability. The results indicate that the initial load exhibits the highest sensitivity to inversion power peak and rotational speed overshoot, with sensitivity values of 0.14 and 0.0038, respectively. The characteristic water head shows the greatest sensitivity to the inversion power peak time and rotational speed peak time, with values of 0.31 and 0.43, respectively. Additionally, the integration gain significantly influences the rotational speed rise time, with a sensitivity value of 0.30. These findings provide a theoretical basis for optimizing the parameter selection in hydropower plants.

Suggested Citation

  • Yongjia Li & Yixuan Guo & Ming Li & Liuwei Lei & Huaming Hu & Diyi Chen & Ziwen Zhao & Beibei Xu, 2025. "Multi-Objective Sensitivity Analysis of Hydraulic–Mechanical–Electrical Parameters for Hydropower System Transient Response," Energies, MDPI, vol. 18(10), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:10:p:2609-:d:1658531
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    References listed on IDEAS

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    1. Riasi, Alireza & Tazraei, Pedram, 2017. "Numerical analysis of the hydraulic transient response in the presence of surge tanks and relief valves," Renewable Energy, Elsevier, vol. 107(C), pages 138-146.
    2. David Valentín & Alexandre Presas & Eduard Egusquiza & Carme Valero & Mònica Egusquiza & Matias Bossio, 2017. "Power Swing Generated in Francis Turbines by Part Load and Overload Instabilities," Energies, MDPI, vol. 10(12), pages 1-17, December.
    3. Binama, Maxime & Su, Wen-Tao & Li, Xiao-Bin & Li, Feng-Chen & Wei, Xian-Zhu & An, Shi, 2017. "Investigation on pump as turbine (PAT) technical aspects for micro hydropower schemes: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 148-179.
    4. Li, Huanhuan & Xu, Beibei & Arzaghi, Ehsan & Abbassi, Rouzbeh & Chen, Diyi & Aggidis, George A. & Zhang, Jingjing & Patelli, Edoardo, 2020. "Transient safety assessment and risk mitigation of a hydroelectric generation system," Energy, Elsevier, vol. 196(C).
    5. Lei, Liuwei & Li, Feng & Kheav, Kimleng & Jiang, Wei & Luo, Xingqi & Patelli, Edoardo & Xu, Beibei & Chen, Diyi, 2021. "A start-up optimization strategy of a hydroelectric generating system: From a symmetrical structure to asymmetric structure on diversion pipes," Renewable Energy, Elsevier, vol. 180(C), pages 1148-1165.
    6. Yang, Weijia & Norrlund, Per & Saarinen, Linn & Yang, Jiandong & Guo, Wencheng & Zeng, Wei, 2016. "Wear and tear on hydro power turbines – Influence from primary frequency control," Renewable Energy, Elsevier, vol. 87(P1), pages 88-95.
    7. Ma, Weichao & Zhao, Zhigao & Yang, Jiebin & Lai, Xu & Liu, Chengpeng & Yang, Jiandong, 2024. "A transient analysis framework for hydropower generating systems under parameter uncertainty by integrating physics-based and data-driven models," Energy, Elsevier, vol. 297(C).
    8. Yang, Weijia & Norrlund, Per & Chung, Chi Yung & Yang, Jiandong & Lundin, Urban, 2018. "Eigen-analysis of hydraulic-mechanical-electrical coupling mechanism for small signal stability of hydropower plant," Renewable Energy, Elsevier, vol. 115(C), pages 1014-1025.
    9. Guo, Wencheng & Peng, Zhiyuan, 2019. "Hydropower system operation stability considering the coupling effect of water potential energy in surge tank and power grid," Renewable Energy, Elsevier, vol. 134(C), pages 846-861.
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