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Combined Wind Turbine Protection System

Author

Listed:
  • Vladimir Kaverin

    (Faculty of Energy, Automation, and Telecommunications, Abylkas Saginov Karaganda Technical University, 56 Nursultan Nazarbayev Ave., Karaganda 100027, Kazakhstan)

  • Gulim Nurmaganbetova

    (Energy Faculty, Saken Seifullin Kazakh Agrotechnical Research University, 62, Zhenis Ave., Astana 010000, Kazakhstan)

  • Gennadiy Em

    (Faculty of Energy, Automation, and Telecommunications, Abylkas Saginov Karaganda Technical University, 56 Nursultan Nazarbayev Ave., Karaganda 100027, Kazakhstan)

  • Sultanbek Issenov

    (Energy Faculty, Saken Seifullin Kazakh Agrotechnical Research University, 62, Zhenis Ave., Astana 010000, Kazakhstan)

  • Galina Tatkeyeva

    (Energy Faculty, Saken Seifullin Kazakh Agrotechnical Research University, 62, Zhenis Ave., Astana 010000, Kazakhstan)

  • Aliya Maussymbayeva

    (Faculty of Energy, Automation, and Telecommunications, Abylkas Saginov Karaganda Technical University, 56 Nursultan Nazarbayev Ave., Karaganda 100027, Kazakhstan)

Abstract

The increasing deployment of wind turbines in technologically advanced nations underscores the need to enhance their reliability, extend their operational lifespan, and minimize failures. The current protection devices for wind turbine components do not sufficiently shield them from various external factors that degrade performance. This study addresses the environmental and technical challenges that disrupt wind turbine operations and reviews existing research and technical solutions for protecting individual components, supported by experimental findings. Using a decomposition method followed by the integration of protection components, we propose a combined protection system designed to improve the overall resilience of wind turbines. The proposed system aims to reduce incidents, extend service life, and increase reliability, addressing a critical gap in wind energy technology and contributing to its continued development and efficiency.

Suggested Citation

  • Vladimir Kaverin & Gulim Nurmaganbetova & Gennadiy Em & Sultanbek Issenov & Galina Tatkeyeva & Aliya Maussymbayeva, 2024. "Combined Wind Turbine Protection System," Energies, MDPI, vol. 17(20), pages 1-19, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:20:p:5074-:d:1497185
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    References listed on IDEAS

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    5. Arrieta-Prieto, Mario & Schell, Kristen R., 2024. "Spatially transferable machine learning wind power prediction models: v−logit random forests," Renewable Energy, Elsevier, vol. 223(C).
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