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A review of dynamic models and stability analysis for a hydro-turbine governing system

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  • Xu, Beibei
  • Zhang, Jingjing
  • Egusquiza, Mònica
  • Chen, Diyi
  • Li, Feng
  • Behrens, Paul
  • Egusquiza, Eduard

Abstract

Hydropower offers highly flexible, low-carbon generation that can be used to balance electricity grids with high levels of wind and solar penetration. This will become increasingly important as the energy transition unfolds. However, hydropower generation faces several problems when used in a flexible, fast manner (on the order of seconds) when in part-load, overload, or transient conditions. Some of these issues may be addressed by an improved understanding of how the load is measured and controlled in a hydro-turbine governing system (HTGS). This paper reviews different subsystem models and stability analysis approaches for HTGS along with their applicability in different operational conditions and design layouts. The review revealed three main challenges facing the increasing flexible use of HTGS on the grid: 1) the combination of the HTGS and shaft model, 2) the control methods of HTGS with intermittent renewable energies, and 3) the uncertain nature of load on the overall performance and stability of the hydropower system. This review can stimulate further research on HTGS models and control methods to improve grid management.

Suggested Citation

  • Xu, Beibei & Zhang, Jingjing & Egusquiza, Mònica & Chen, Diyi & Li, Feng & Behrens, Paul & Egusquiza, Eduard, 2021. "A review of dynamic models and stability analysis for a hydro-turbine governing system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    • Handle: RePEc:eee:rensus:v:144:y:2021:i:c:s136403212100174x
    DOI: 10.1016/j.rser.2021.110880
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    2. Xu, Pan & Fu, Wenlong & Lu, Qipeng & Zhang, Shihai & Wang, Renming & Meng, Jiaxin, 2023. "Stability analysis of hydro-turbine governing system with sloping ceiling tailrace tunnel and upstream surge tank considering nonlinear hydro-turbine characteristics," Renewable Energy, Elsevier, vol. 210(C), pages 556-574.
    3. Liu, Yi & Zhang, Jian & Chen, Sheng & Yu, Xiaodong, 2023. "Stability analysis and estimation of domain of attraction for hydropower station with surge tank," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
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    5. Han, Shuo & He, Mengjiao & Zhao, Ziwen & Chen, Diyi & Xu, Beibei & Jurasz, Jakub & Liu, Fusheng & Zheng, Hongxi, 2023. "Overcoming the uncertainty and volatility of wind power: Day-ahead scheduling of hydro-wind hybrid power generation system by coordinating power regulation and frequency response flexibility," Applied Energy, Elsevier, vol. 333(C).
    6. Yi Liu & Xiaodong Yu & Xinlei Guo & Wenlong Zhao & Sheng Chen, 2023. "Operational Stability of Hydropower Plant with Upstream and Downstream Surge Chambers during Small Load Disturbance," Energies, MDPI, vol. 16(11), pages 1-13, June.
    7. Huang, Yifan & Yang, Weijia & Liao, Yiwen & Zhao, Zhigao & Ma, Weichao & Yang, Jiebin & Yang, Jiandong, 2022. "Improved transfer function method for flexible simulation of hydraulic-mechanical-electrical transient processes of hydro-power plants," Renewable Energy, Elsevier, vol. 196(C), pages 390-404.
    8. Jianxu Zhou & Chaoqun Li & Yutong Mao, 2023. "Discussion on Operational Stability of Governor Turbine Hydraulic System Considering Effect of Power System," Energies, MDPI, vol. 16(11), pages 1-17, May.
    9. Zou, Yidong & Hu, Wenqing & Xiao, Zhihuai & Wang, Yunhe & Chen, Jinbao & Zheng, Yang & Qian, Jing & Zeng, Yun, 2023. "Design of intelligent nonlinear robust controller for hydro-turbine governing system based on state-dynamic-measurement hybrid feedback linearization method," Renewable Energy, Elsevier, vol. 204(C), pages 635-651.
    10. Yan, Donglin & Zheng, Yang & Liu, Wanying & Chen, Tianya & Chen, Qijuan, 2022. "Interval uncertainty analysis of vibration response of hydroelectric generating unit based on Chebyshev polynomial," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    11. Fawaz E. Alsaadi & Amirreza Yasami & Hajid Alsubaie & Ahmed Alotaibi & Hadi Jahanshahi, 2022. "Control of a Hydraulic Generator Regulating System Using Chebyshev-Neural-Network-Based Non-Singular Fast Terminal Sliding Mode Method," Mathematics, MDPI, vol. 11(1), pages 1-18, December.
    12. Zhang, Nan & Feng, Chen & Shan, Yahui & Sun, Na & Xue, Xiaoming & Shi, Liping, 2023. "A universal stability quantification method for grid-connected hydropower plant considering FOPI controller and complex nonlinear characteristics based on improved GWO," Renewable Energy, Elsevier, vol. 211(C), pages 874-894.

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