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Multi-objective optimization of hydraulic transient condition in a pump-turbine hydropower considering the wicket-gates closing law and the surge tank position

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  • Rezghi, Ali
  • Riasi, Alireza
  • Tazraei, Pedram

Abstract

The overpressure and overspeed of pump-turbines are common consequences of interaction between pumped storage power plants and intermittent sources of energy. In this paper, by analyzing the S-shaped zone of characteristic curves, the transient operation of Siah Bishe pumped storage power plant during the full load rejection of the unit is numerically simulated. In this way, the second version of non-dominated sorting genetic algorithm (NSGA-II) is applied to perform a multi-objective optimization. The optimization processes of wicket-gates closing law and the surge tank position are carried out to minimize the maximum overpressure and the pump-turbine overspeed. Optimization results in Case 1 show that by optimizing the four-slope closing law of wicket-gates and placing the surge tank closer to the upstream reservoir (by 86.8 m), the maximum overpressure and the pump-turbine overspeed decrease by 4.2% and 7.1%, respectively. Also, the maximum rise and fall in the water level of surge tank decrease by 5.2% and 7%, respectively. Optimization results in case 2 reveal that an uncomplicated closing law with only two optimized strokes can be a proper substitute for the original four-stroke closing law, leading to a remarkable decrease in the pump-turbine overspeed (6.4%) and 2.5% reduction in the maximum overpressure.

Suggested Citation

  • Rezghi, Ali & Riasi, Alireza & Tazraei, Pedram, 2020. "Multi-objective optimization of hydraulic transient condition in a pump-turbine hydropower considering the wicket-gates closing law and the surge tank position," Renewable Energy, Elsevier, vol. 148(C), pages 478-491.
  • Handle: RePEc:eee:renene:v:148:y:2020:i:c:p:478-491
    DOI: 10.1016/j.renene.2019.10.054
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    3. Yixuan Guo & Xiao Liang & Ziyu Niu & Zezhou Cao & Liuwei Lei & Hualin Xiong & Diyi Chen, 2021. "Vibration Characteristics of a Hydroelectric Generating System with Different Hydraulic-Mechanical-Electric Parameters in a Sudden Load Increasing Process," Energies, MDPI, vol. 14(21), pages 1-21, November.
    4. 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).
    5. Li, Deyou & Qin, Yonglin & Wang, Jianpeng & Zhu, Yutong & Wang, Hongjie & Wei, Xianzhu, 2022. "Optimization of blade high-pressure edge to reduce pressure fluctuations in pump-turbine hump region," Renewable Energy, Elsevier, vol. 181(C), pages 24-38.
    6. Zheming Tong & Zhongqin Yang & Qing Huang & Qiang Yao, 2022. "Numerical Modeling of the Hydrodynamic Performance of Slanted Axial-Flow Urban Drainage Pumps at Shut-Off Condition," Energies, MDPI, vol. 15(5), pages 1-17, March.
    7. Cui, Zilong & Guo, Wencheng, 2023. "Multi-objective control of transient process of hydropower plant with two turbines sharing one penstock under combined operating conditions," Renewable Energy, Elsevier, vol. 206(C), pages 1275-1288.
    8. 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.
    9. 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.
    10. 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.

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