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Suppression and Analysis of Low-Frequency Oscillation in Hydropower Unit Regulation Systems with Complex Water Diversion Systems

Author

Listed:
  • Zhao Liu

    (Xiangjiaba Hydropower Plant, China Yangtze Power Co., Ltd., Yibin 644612, China)

  • Zhenwu Yan

    (Xiangjiaba Hydropower Plant, China Yangtze Power Co., Ltd., Yibin 644612, China)

  • Hongwei Zhang

    (Xiangjiaba Hydropower Plant, China Yangtze Power Co., Ltd., Yibin 644612, China)

  • Huiping Xie

    (Xiangjiaba Hydropower Plant, China Yangtze Power Co., Ltd., Yibin 644612, China)

  • Yidong Zou

    (School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China)

  • Yang Zheng

    (School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China)

  • Zhihuai Xiao

    (School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China)

  • Fei Chen

    (School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China)

Abstract

Low-frequency oscillation (LFO) poses significant challenges to the dynamic performance of hydropower unit regulation systems (HURS) in hydropower units sharing a tailwater system. Previous methods have struggled to effectively suppress LFO, due to limitations in governor parameter optimization strategies. To address this issue, this paper proposes a governor parameter optimization strategy based on the crayfish optimization algorithm (COA). Considering the actual water diversion layout (WDL) of a HURS, a comprehensive mathematical model of the WDL is constructed and, combined with models of the governor, turbine, and generator, an overall HURS model for the shared tailwater system is derived. By utilizing the efficient optimization performance of the COA, the optimal PID parameters for the HURS controller are quickly obtained, providing robust support for PID parameter tuning. Simulation results showed that the proposed strategy effectively suppressed LFOs and significantly enhanced the dynamic performance of the HURS under grid-connected conditions. Specifically, compared to before optimization, the optimized system reduced the oscillation amplitude by at least 30% and improved the stabilization time by at least 25%. Additionally, the impact of the power grid system parameters on oscillations was studied, providing guidance for the optimization and tuning of specific system parameters.

Suggested Citation

  • Zhao Liu & Zhenwu Yan & Hongwei Zhang & Huiping Xie & Yidong Zou & Yang Zheng & Zhihuai Xiao & Fei Chen, 2024. "Suppression and Analysis of Low-Frequency Oscillation in Hydropower Unit Regulation Systems with Complex Water Diversion Systems," Energies, MDPI, vol. 17(19), pages 1-29, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:19:p:4831-:d:1486651
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    References listed on IDEAS

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    4. Yang, Weijia & Norrlund, Per & Bladh, Johan & Yang, Jiandong & Lundin, Urban, 2018. "Hydraulic damping mechanism of low frequency oscillations in power systems: Quantitative analysis using a nonlinear model of hydropower plants," Applied Energy, Elsevier, vol. 212(C), pages 1138-1152.
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