IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v297y2024ics0360544224009149.html
   My bibliography  Save this article

A transient analysis framework for hydropower generating systems under parameter uncertainty by integrating physics-based and data-driven models

Author

Listed:
  • Ma, Weichao
  • Zhao, Zhigao
  • Yang, Jiebin
  • Lai, Xu
  • Liu, Chengpeng
  • Yang, Jiandong

Abstract

It is important to ensure the transient safety and stability of Hydropower generating system (HGS) both in the design and operation stages. Many uncertainties in the Hydropower Generating Units (HGUs) have a strong effect on the transient characteristics. In this study, a transient analysis framework under parameter uncertainty is proposed, which includes: integrating modeling, uncertain transient analysis, and transient calibration. First, not only a physical HGS including a comprehensive model of hydro-turbine but also Polynomial-Chaos-Kriging data-driven models are established for transient considering uncertain HGU parameters. Secondly, based on the evaluation system, the contributions of uncertain HGU parameters on the transient characteristics are quantified objectively. The results show that: (1) in evaluation systems, 6 HGU parameters play a key effect on transient characteristics, and the uncertain properties of 6 indicators can reach moderate variabilities; (2) the effect of HGU uncertainty can be reduced by optimizing the control strategies. Finally, uncertain HGU parameters are calibrated considering 3 measured transient processes. Compared with the conventional HGU model, the max relative absolute error of the volute pressure, the HGU speed, and the servomotor stroke are reduced by 2.14%, 2.70%, and 37.81%. This framework provides new insight into the effect of the uncertain HGU model on transient characteristics, which could be beneficial for the safe and stable operation of HGSs.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:297:y:2024:i:c:s0360544224009149
    DOI: 10.1016/j.energy.2024.131141
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224009149
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.131141?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chen, Zhihuan & Yuan, Xiaohui & Yuan, Yanbin & Lei, Xiaohui & Zhang, Binqiao, 2019. "Parameter estimation of fuzzy sliding mode controller for hydraulic turbine regulating system based on HICA algorithm," Renewable Energy, Elsevier, vol. 133(C), pages 551-565.
    2. Hu, Jinhong & Yang, Jiebin & He, Xianghui & Zhao, Zhigao & Yang, Jiandong, 2023. "Transient analysis of a hydropower plant with a super-long headrace tunnel during load acceptance: Instability mechanism and measurement verification," Energy, Elsevier, vol. 263(PA).
    3. Xu, Rongli & Tan, Xiaoqiang & Wang, He & Zhu, Zhiwei & Lu, Xueding & Li, Chaoshun, 2024. "Stability of hydropower units under full operating conditions considering nonlinear coupling of turbine characteristics," Renewable Energy, Elsevier, vol. 223(C).
    4. Zhiwei Zhu & Xiaoqiang Tan & Xueding Lu & Dong Liu & Chaoshun Li, 2021. "Hopf Bifurcation and Parameter Sensitivity Analysis of a Doubly-Fed Variable-Speed Pumped Storage Unit," Energies, MDPI, vol. 15(1), pages 1-19, December.
    5. 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).
    6. Weijia Yang & Jiandong Yang & Wencheng Guo & Wei Zeng & Chao Wang & Linn Saarinen & Per Norrlund, 2015. "A Mathematical Model and Its Application for Hydro Power Units under Different Operating Conditions," Energies, MDPI, vol. 8(9), pages 1-16, September.
    7. Liu, Dong & Li, Chaoshun & Malik, O.P., 2021. "Nonlinear modeling and multi-scale damping characteristics of hydro-turbine regulation systems under complex variable hydraulic and electrical network structures," Applied Energy, Elsevier, vol. 293(C).
    8. Liu, Dong & Li, Chaoshun & Tan, Xiaoqiang & Lu, Xueding & Malik, O.P., 2021. "Damping characteristics analysis of hydropower units under full operating conditions and control parameters: Accurate quantitative evaluation based on refined models," Applied Energy, Elsevier, vol. 292(C).
    9. Liu, Dong & Wang, Xin & Peng, Yunshui & Zhang, Hui & Xiao, Zhihuai & Han, Xiangdong & Malik, O.P., 2020. "Stability analysis of hydropower units under full operating conditions considering turbine nonlinearity," Renewable Energy, Elsevier, vol. 154(C), pages 723-742.
    10. Xu, Beibei & Chen, Diyi & Patelli, Edoardo & Shen, Haijun & Park, Jae-Hyun, 2019. "Mathematical model and parametric uncertainty analysis of a hydraulic generating system," Renewable Energy, Elsevier, vol. 136(C), pages 1217-1230.
    11. 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.
    12. Wang, Xiaojing & Zou, Zhengping, 2019. "Uncertainty analysis of impact of geometric variations on turbine blade performance," Energy, Elsevier, vol. 176(C), pages 67-80.
    13. Kim, Minho & Chun, Huiyong & Kim, Jungsoo & Kim, Kwangrae & Yu, Jungwook & Kim, Taegyun & Han, Soohee, 2019. "Data-efficient parameter identification of electrochemical lithium-ion battery model using deep Bayesian harmony search," Applied Energy, Elsevier, vol. 254(C).
    14. Yang, Weijia & Yang, Jiandong & Zeng, Wei & Tang, Renbo & Hou, Liangyu & Ma, Anting & Zhao, Zhigao & Peng, Yumin, 2019. "Experimental investigation of theoretical stability regions for ultra-low frequency oscillations of hydropower generating systems," Energy, Elsevier, vol. 186(C).
    15. Zhang, Jingjing & Mahmud, Apel & Govaerts, Willy & Chen, Diyi & Xu, Beibei & Xiong, Hualin, 2020. "Sensitivity analysis and low frequency oscillations for bifurcation scenarios in a hydraulic generating system," Renewable Energy, Elsevier, vol. 162(C), pages 334-344.
    16. Rezghi, A. & Riasi, A., 2016. "Sensitivity analysis of transient flow of two parallel pump-turbines operating at runaway," Renewable Energy, Elsevier, vol. 86(C), pages 611-622.
    17. 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).
    18. He, Xianghui & Yang, Jiandong & Yang, Jiebin & Zhao, Zhigao & Hu, Jinhong & Peng, Tao, 2023. "Evolution mechanism of water column separation in pump turbine: Model experiment and occurrence criterion," Energy, Elsevier, vol. 265(C).
    19. Lan, Xinyao & Jin, Jiahui & Xu, Beibei & Chen, Diyi & Egusquiza, Mònica & Kim, Jin-Hyuk & Egusquiza, Eduard & Jafar, Nejadali & Xu, Lin & Kuang, Yuan, 2022. "Physical model test and parametric optimization of a hydroelectric generating system with a coaxial shaft surge tank," Renewable Energy, Elsevier, vol. 200(C), pages 880-899.
    20. Ma, Weichao & Yan, Wenjie & Yang, Jiebin & He, Xianghui & Yang, Jiandong & Yang, Weijia, 2022. "Experimental and numerical investigation on head losses of a complex throttled surge tank for refined hydropower plant simulation," Renewable Energy, Elsevier, vol. 186(C), pages 264-279.
    21. Kishor, Nand & Saini, R.P. & Singh, S.P., 2007. "A review on hydropower plant models and control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(5), pages 776-796, June.
    22. 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.
    23. Kan, Kan & Binama, Maxime & Chen, Huixiang & Zheng, Yuan & Zhou, Daqing & Su, Wentao & Muhirwa, Alexis, 2022. "Pump as turbine cavitation performance for both conventional and reverse operating modes: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Lu, Xueding & Li, Chaoshun & Liu, Dong & Zhu, Zhiwei & Tan, Xiaoqiang, 2022. "Influence of water diversion system topologies and operation scenarios on the damping characteristics of hydropower units under ultra-low frequency oscillations," Energy, Elsevier, vol. 239(PE).
    3. Dong Liu & Xinxu Wei & Jingjing Zhang & Xiao Hu & Lihong Zhang, 2023. "A Parameter Sensitivity Analysis of Hydropower Units under Full Operating Conditions Considering Turbine Nonlinearity," Sustainability, MDPI, vol. 15(15), pages 1-21, July.
    4. Liu, Dong & Li, Chaoshun & Tan, Xiaoqiang & Lu, Xueding & Malik, O.P., 2021. "Damping characteristics analysis of hydropower units under full operating conditions and control parameters: Accurate quantitative evaluation based on refined models," Applied Energy, Elsevier, vol. 292(C).
    5. Shi, Yousong & Zhou, Jianzhong & Guo, Wencheng & Zheng, Yang & Li, Chaoshun & Zhang, Yongchuan, 2022. "Nonlinear dynamic characteristics analysis and adaptive avoid vortex-coordinated optimal control of hydropower units under grid connection," Renewable Energy, Elsevier, vol. 200(C), pages 911-930.
    6. Liu, Dong & Li, Chaoshun & Malik, O.P., 2021. "Nonlinear modeling and multi-scale damping characteristics of hydro-turbine regulation systems under complex variable hydraulic and electrical network structures," Applied Energy, Elsevier, vol. 293(C).
    7. Zhang, Jian & Qiu, Weixin & Wang, Qinyi & Yao, Tianyu & Hu, Chao & Liu, Yi, 2024. "Extreme water level of surge chamber in hydropower plant under combined operating conditions," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
    8. Dong, Wenhui & Cao, Zezhou & Zhao, Pengchong & Yang, Zhenbiao & Yuan, Yichen & Zhao, Ziwen & Chen, Diyi & Wu, Yajun & Xu, Beibei & Venkateshkumar, M., 2023. "A segmented optimal PID method to consider both regulation performance and damping characteristic of hydroelectric power system," Renewable Energy, Elsevier, vol. 207(C), pages 1-12.
    9. 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.
    10. 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.
    11. Zhao, Zhigao & Yang, Jiandong & Huang, Yifan & Yang, Weijia & Ma, Weichao & Hou, Liangyu & Chen, Man, 2021. "Improvement of regulation quality for hydro-dominated power system: quantifying oscillation characteristic and multi-objective optimization," Renewable Energy, Elsevier, vol. 168(C), pages 606-631.
    12. 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.
    13. Chen, Jinbao & Zeng, Quan & Zou, Yidong & Li, Shaojie & Zheng, Yang & Liu, Dong & Xiao, Zhihuai, 2024. "Intelligent robust control for nonlinear complex hydro-turbine regulation system based on a novel state space equation and dynamic feedback linearization," Energy, Elsevier, vol. 302(C).
    14. Chen, Jinbao & Zheng, Yang & Liu, Dong & Du, Yang & Xiao, Zhihuai, 2023. "Quantitative stability analysis of complex nonlinear hydraulic turbine regulation system based on accurate calculation," Applied Energy, Elsevier, vol. 351(C).
    15. Lan, Xinyao & Jin, Jiahui & Xu, Beibei & Chen, Diyi & Egusquiza, Mònica & Kim, Jin-Hyuk & Egusquiza, Eduard & Jafar, Nejadali & Xu, Lin & Kuang, Yuan, 2022. "Physical model test and parametric optimization of a hydroelectric generating system with a coaxial shaft surge tank," Renewable Energy, Elsevier, vol. 200(C), pages 880-899.
    16. Zhao, Zhigao & Yang, Jiandong & Chung, C.Y. & Yang, Weijia & He, Xianghui & Chen, Man, 2021. "Performance enhancement of pumped storage units for system frequency support based on a novel small signal model," Energy, Elsevier, vol. 234(C).
    17. Lu, Xueding & Li, Chaoshun & Liu, Dong & Zhu, Zhiwei & Tan, Xiaoqiang & Xu, Rongli, 2023. "Comprehensive stability analysis of complex hydropower system under flexible operating conditions based on a fast stability domain solving method," Energy, Elsevier, vol. 274(C).
    18. 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.
    19. Tan, Xiaoqiang & Li, Chaoshun & Liu, Dong & Wang, He & Xu, Rongli & Lu, Xueding & Zhu, Zhiwei, 2023. "Multi-time scale model reduction strategy of variable-speed pumped storage unit grid-connected system for small-signal oscillation stability analysis," Renewable Energy, Elsevier, vol. 211(C), pages 985-1009.
    20. Xin Wu & Yanhe Xu & Jie Liu & Cong Lv & Jianzhong Zhou & Qing Zhang, 2019. "Characteristics Analysis and Fuzzy Fractional-Order PID Parameter Optimization for Primary Frequency Modulation of a Pumped Storage Unit Based on a Multi-Objective Gravitational Search Algorithm," Energies, MDPI, vol. 13(1), pages 1-20, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:297:y:2024:i:c:s0360544224009149. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.