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Nonlinear state-space modeling and optimal tracking control for pumped storage units

Author

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  • Yan, Shuangqing
  • Yin, Xiuxing
  • Zheng, Yang

Abstract

The large-scale penetration of intermittent sources brings serious stability problems to power systems with multiple energy complementary characteristics. The regulation performance of pumped storage plant (PSP) in suppressing frequency fluctuations induced by intermittent energy sources is essential to a multi-energy system. This paper aims to design an optimal control strategy for the pump-turbine governing system (PTGS) for a faster and smoother regulation process. To precisely describe the complicated hydraulic-mechanical transients in PTGS, a novel complete state-space model (CSSM) is proposed based on the electrical analogy method. The mathematical expressions of the subsystems in PSP are developed, and the simulation algorithm are detailed. The accuracy of the proposed model under various conditions is revealed by comparison with the method of characteristics (MOC) and measured data. Furthermore, the temporal-spatial constraint of CSSM when dealing with pipe segmentation is discussed. Subsequently, a linear quadratic regulator with anti-disturbance optimal tracking (LQR-ADOT) capability is designed based on the proposed nonlinear model. The integral of rotation speed deviation and the augmented state vector are employed to eliminate the steady-state error caused by the disturbance term and solve the trajectory tracking problem, respectively. Comparative experiments of LQR-ADOT with proportional-integral-differential (PID), fractional order PID (FOPID) and model predictive control (MPC) reveal that the proposed controller can effectively attenuate rotational speed oscillation and improve overall performance under various conditions. Notably, in frequency regulation, the settling time is decreased from 28.83 s to 16.82 s and the overshoot is reduced from 9.45% to 0.31% compared to traditional PID.

Suggested Citation

  • Yan, Shuangqing & Yin, Xiuxing & Zheng, Yang, 2024. "Nonlinear state-space modeling and optimal tracking control for pumped storage units," Applied Energy, Elsevier, vol. 373(C).
  • Handle: RePEc:eee:appene:v:373:y:2024:i:c:s0306261924012844
    DOI: 10.1016/j.apenergy.2024.123901
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    References listed on IDEAS

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    1. Yu, Xiaodong & Yang, Xiuwei & Yu, Chao & Zhang, Jian & Tian, Yuan, 2021. "Direct approach to optimize PID controller parameters of hydropower plants," Renewable Energy, Elsevier, vol. 173(C), pages 342-350.
    2. Li, Chaoshun & Mao, Yifeng & Yang, Jiandong & Wang, Zanbin & Xu, Yanhe, 2017. "A nonlinear generalized predictive control for pumped storage unit," Renewable Energy, Elsevier, vol. 114(PB), pages 945-959.
    3. Suh, Jun-Won & Yang, Hyeon-Mo & Kim, Jin-Hyuk & Joo, Won-Gu & Park, Jungwan & Choi, Young-Seok, 2021. "Unstable S-shaped characteristics of a pump-turbine unit in a lab-scale model," Renewable Energy, Elsevier, vol. 171(C), pages 1395-1417.
    4. Lai, Xinjie & Li, Chaoshun & Zhou, Jianzhong & Zhang, Yongchuan & Li, Yonggang, 2020. "A multi-objective optimization strategy for the optimal control scheme of pumped hydropower systems under successive load rejections," Applied Energy, Elsevier, vol. 261(C).
    5. 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).
    6. Chen, Jinbao & Liu, Shaohua & Wang, Yunhe & Hu, Wenqing & Zou, Yidong & Zheng, Yang & Xiao, Zhihuai, 2024. "Generalized predictive control application scheme for nonlinear hydro-turbine regulation system: Based on a precise novel control structure," Energy, Elsevier, vol. 296(C).
    7. Mahfoud, Rabea Jamil & Alkayem, Nizar Faisal & Zhang, Yuquan & Zheng, Yuan & Sun, Yonghui & Alhelou, Hassan Haes, 2023. "Optimal operation of pumped hydro storage-based energy systems: A compendium of current challenges and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    8. 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.
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