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Benefits of battery hybridization in hydraulic turbines. Wear and tear evaluation in a Kaplan prototype

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  • Valentín, David
  • Presas, Alexandre
  • Egusquiza, Mònica
  • Drommi, Jean-Louis
  • Valero, Carme

Abstract

Kaplan turbines are nowadays used to provide Frequency Containment Reserve (FCR) to the grid due to their fast capacity to regulate their power maintaining high efficiency. However, this continuous power regulation increases the wear and tear of the regulation system considerably. To reduce the amount of movements in the regulation servomotors, and thus their wear and tear, a new technology is being investigated within the frame of the European project XFLEX Hydro. This new technology is based on hybridizing the hydro unit with a small size battery in parallel, this one being in charge of compensating the small frequency fluctuations in the grid by providing or absorbing power. In this paper, the benefits of the implementation of this new technology are evaluated. A Kaplan turbine prototype located in Vogelgrun, France, has been hybridized and different parameters have been monitored while the unit was working in hybrid mode and in normal standalone hydro mode. Wear and tear of the regulation system have been compared for both hybrid and standalone hydro modes. A reduction of about 25% in servomotors mileage and of 50% in fatigue damage have been obtained by hybridizing the unit.

Suggested Citation

  • Valentín, David & Presas, Alexandre & Egusquiza, Mònica & Drommi, Jean-Louis & Valero, Carme, 2022. "Benefits of battery hybridization in hydraulic turbines. Wear and tear evaluation in a Kaplan prototype," Renewable Energy, Elsevier, vol. 199(C), pages 35-43.
    • Handle: RePEc:eee:renene:v:199:y:2022:i:c:p:35-43
    DOI: 10.1016/j.renene.2022.08.117
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    References listed on IDEAS

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    1. Pham, Quang Hung & Gagnon, Martin & Antoni, Jérôme & Tahan, Antoine & Monette, Christine, 2021. "Rainflow-counting matrix interpolation over different operating conditions for hydroelectric turbine fatigue assessment," Renewable Energy, Elsevier, vol. 172(C), pages 465-476.
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    1. 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).

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