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Experimental Study on the Optimal Strategy for Power Regulation of Governing System of Hydropower Station

China Institute of Water Resources and Hydropower Research, Beijing 100038, China
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Academic Editors: Armando Carravetta and Wencheng Guo
Water 2021, 13(4), 421; https://doi.org/10.3390/w13040421
Received: 15 January 2021 / Revised: 2 February 2021 / Accepted: 2 February 2021 / Published: 5 February 2021
(This article belongs to the Special Issue Hydraulic Transient of Hydropower Station and Pump Station)
Active power instability during the power regulation process is a problem that affects the operation security of hydropower stations and the power grid. This paper focuses on the dynamic response to power regulation of a hydro-turbine governor in the power control mode. Firstly, the mathematical model for the hydro-turbine governing system connected to the power grid is established. Then, considering the effect of water hammer and the guide vane operating speed on power oscillation and reverse power regulation, a novel control strategy based on the S-curve acceleration and deceleration control algorithm (S-curve control algorithm) is proposed to improve power regulation. Furthermore, we carried out field tests in a real hydropower station in order to compare the regulation quality of the novel control strategy based on the S-curve control algorithm with the traditional linear control strategy. Finally, the obtained results show that the proposed optimal control strategy for the hydro-turbine governor improves the stability of power regulation by effectively suppressing reverse power regulation and overshoot. This study provides a good solution for the instability of power and reverse power regulation during the regulation process of the hydro-turbine governor in the power control mode. View Full-Text
Keywords: dynamic response; hydropower; hydro-turbine governor; power control mode; S-curve control algorithm; water hammer dynamic response; hydropower; hydro-turbine governor; power control mode; S-curve control algorithm; water hammer
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MDPI and ACS Style

Wang, C.; Wang, D.-K.; Zhang, J.-M. Experimental Study on the Optimal Strategy for Power Regulation of Governing System of Hydropower Station. Water 2021, 13, 421. https://doi.org/10.3390/w13040421

AMA Style

Wang C, Wang D-K, Zhang J-M. Experimental Study on the Optimal Strategy for Power Regulation of Governing System of Hydropower Station. Water. 2021; 13(4):421. https://doi.org/10.3390/w13040421

Chicago/Turabian Style

Wang, Cong; Wang, De-Kuan; Zhang, Jian-Ming. 2021. "Experimental Study on the Optimal Strategy for Power Regulation of Governing System of Hydropower Station" Water 13, no. 4: 421. https://doi.org/10.3390/w13040421

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