IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i19p4912-d1489879.html
   My bibliography  Save this article

A Data-Driven Predictive Control Method for Modeling Doubly-Fed Variable-Speed Pumped Storage Units

Author

Listed:
  • Peiyu Zhao

    (School of Water Resources and Hydropower, Xi’an University of Technology, Xi’an 710065, China)

  • Haipeng Nan

    (School of Water Resources and Hydropower, Xi’an University of Technology, Xi’an 710065, China)

  • Qingsen Cai

    (Northwest Engineering Corporation Limited, Power China, Xi’an 710065, China)

  • Chunyang Gao

    (School of Water Resources and Hydropower, Xi’an University of Technology, Xi’an 710065, China)

  • Luochang Wu

    (School of Water Resources and Hydropower, Xi’an University of Technology, Xi’an 710065, China)

Abstract

In this study, a data-driven model predictive control (MPC) method is proposed for the optimal control of a doubly-fed variable-speed pumped storage unit. This method combines modern control theory with the dynamic characteristics of the pumped storage unit to establish an accurate dynamic model based on actual operating data. In each control cycle, the MPC uses the system model to predict future system behavior and determines the optimal control input sequence by solving the constrained optimization problem, thereby effectively dealing with the nonlinearity, time-varying characteristics, and multivariable coupling problems of the system. When compared with a traditional PID control, this method significantly improves control accuracy, response speed, and system stability. The simulation results show that the proposed MPC method exhibits better steady-state error, overshoot, adjustment time, and control energy under various operating conditions, demonstrating its advantages in complex multivariable systems. This study provides an innovative solution for the efficient control of doubly-fed variable-speed pumped storage units and lays a solid foundation for the efficient utilization of new energy sources.

Suggested Citation

  • Peiyu Zhao & Haipeng Nan & Qingsen Cai & Chunyang Gao & Luochang Wu, 2024. "A Data-Driven Predictive Control Method for Modeling Doubly-Fed Variable-Speed Pumped Storage Units," Energies, MDPI, vol. 17(19), pages 1-20, September.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:19:p:4912-:d:1489879
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/19/4912/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/19/4912/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yang, Weijia & Yang, Jiandong, 2019. "Advantage of variable-speed pumped storage plants for mitigating wind power variations: Integrated modelling and performance assessment," Applied Energy, Elsevier, vol. 237(C), pages 720-732.
    2. Gao, Chunyang & Yu, Xiangyang & Nan, Haipeng & Men, Chuangshe & Zhao, Peiyu & Cai, Qingsen & Fu, Jianing, 2021. "Stability and dynamic analysis of doubly-fed variable speed pump turbine governing system based on Hopf bifurcation theory," Renewable Energy, Elsevier, vol. 175(C), pages 568-579.
    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. Gao, Chunyang & Yu, Xiangyang & Nan, Haipeng & Guo, Pengcheng & Fan, Guoliang & Meng, Zhijie & Ge, Ye & Cai, Qingsen, 2024. "Rotating speed pulling-back control and adaptive strategy of doubly-fed variable speed pumped storage unit," Renewable Energy, Elsevier, vol. 232(C).
    2. Nan Zhang & Xiaoming Xue & Na Sun & Yanhui Gu & Wei Jiang & Chaoshun Li, 2022. "Nonlinear Modeling and Stability of a Doubly-Fed Variable Speed Pumped Storage Power Station with Surge Tank Considering Nonlinear Pump Turbine Characteristics," Energies, MDPI, vol. 15(11), pages 1-24, June.
    3. 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.
    4. Yunfei Wu & Jianfeng Liu & Jian Zhou, 2022. "The Strategy of Considering the Participation of Doubly-Fed Pumped-Storage Units in Power Grid Frequency Regulation," Energies, MDPI, vol. 15(6), pages 1-16, March.
    5. 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.
    6. Hilario J. Torres-Herrera & Alexis Lozano-Medina, 2021. "Methodological Proposal for the Assessment Potential of Pumped Hydropower Energy Storage: Case of Gran Canaria Island," Energies, MDPI, vol. 14(12), pages 1-27, June.
    7. Simshauser, P. & Gohde, N., 2024. "3-Party Covenant Financing of 'Semi-Regulated' Pumped Hydro Assets," Cambridge Working Papers in Economics 2425, Faculty of Economics, University of Cambridge.
    8. Huang, Jingjian & Xu, Yujie & Guo, Huan & Geng, Xiaoqian & Chen, Haisheng, 2022. "Dynamic performance and control scheme of variable-speed compressed air energy storage," Applied Energy, Elsevier, vol. 325(C).
    9. Vasudevan, Krishnakumar R. & Ramachandaramurthy, Vigna K. & Venugopal, Gomathi & Ekanayake, J.B. & Tiong, S.K., 2021. "Variable speed pumped hydro storage: A review of converters, controls and energy management strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    10. 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).
    11. He Wang & Zhijie Ma, 2021. "Regulation Characteristics and Load Optimization of Pump-Turbine in Variable-Speed Operation," Energies, MDPI, vol. 14(24), pages 1-21, December.
    12. Xiangxin Meng & Yakun Zhang & Zekun Wu & Wenzhe Tang, 2023. "Enhancing Operations Management of Pumped Storage Power Stations by Partnering from the Perspective of Multi-Energy Complementarity," Energies, MDPI, vol. 16(19), pages 1-19, October.
    13. Sha Li & Zezhou Cao & Kuangqing Hu & Diyi Chen, 2023. "Performance Assessment for Primary Frequency Regulation of Variable-Speed Pumped Storage Plant in Isolated Power Systems," Energies, MDPI, vol. 16(3), pages 1-16, January.
    14. Papadakis C. Nikolaos & Fafalakis Marios & Katsaprakakis Dimitris, 2023. "A Review of Pumped Hydro Storage Systems," Energies, MDPI, vol. 16(11), pages 1-39, June.
    15. Huaguang Yan & Wenda Zhang & Jiandong Kang & Tiejiang Yuan, 2023. "The Necessity and Feasibility of Hydrogen Storage for Large-Scale, Long-Term Energy Storage in the New Power System in China," Energies, MDPI, vol. 16(13), pages 1-21, June.
    16. 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.
    17. Leonardo Nibbi & Paolo Sospiro & Maurizio De Lucia & Cheng-Cheng Wu, 2022. "Improving Pumped Hydro Storage Flexibility in China: Scenarios for Advanced Solutions Adoption and Policy Recommendations," Energies, MDPI, vol. 15(21), pages 1-25, October.
    18. De Vivero-Serrano, Gustavo & Bruninx, Kenneth & Delarue, Erik, 2019. "Implications of bid structures on the offering strategies of merchant energy storage systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    19. Huang, Yifan & Yang, Weijia & Zhao, Zhigao & Han, Wenfu & Li, Yulan & Yang, Jiandong, 2023. "Dynamic modeling and favorable speed command of variable-speed pumped-storage unit during power regulation," Renewable Energy, Elsevier, vol. 206(C), pages 769-783.
    20. Fan Wu & Jun Wang & Zhang Sun & Tao Wang & Lei Chen & Xiaoyan Han, 2019. "An Optimal Wavelet Packets Basis Method for Cascade Hydro-PV-Pumped Storage Generation Systems to Smooth Photovoltaic Power Fluctuations," Energies, MDPI, vol. 12(24), pages 1-22, 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:gam:jeners:v:17:y:2024:i:19:p:4912-:d:1489879. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.