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Study of a Simulator for the Diagnosis of Wind Farm Failures and the Development of Maintenance Strategies

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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 714))

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Abstract

Wind turbines transform the kinetic energy of the wind into mechanical energy, which is then transformed into electrical energy and injected into the electrical network. The wind turbine is characterized by the relationship between the wind speed and the power delivered. This relationship is called the power curve, which is the most widely used tool for monitoring wind turbine performance. This curve must make it possible to detect the presence of failures and its severity.

Because of the flaws in fault detection by power curve, studies have used the energy balances of the various components of wind turbines. The contribution of this article consists in simulating the energy balances within the different components of the wind farm, as well as on the electrical energy injection network. This simulation makes it possible to extract knowledge about diagnosing faults within the wind farm and also makes it possible to plan maintenance tasks.

In wind farms, most maintenance planning tools are responsive. The adopted approach makes it possible to adapt the maintenance strategy to the meteorological conditions and to the degrees of degradation of the components in a preventive manner.

The first simulation steps are promising to improve this work and take into consideration the different dimensions of wind farm maintenance.

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Authors and Affiliations

  1. Laboratory of Industrial Engineering, Mechanical Engineering Department, Faculty of Sciences and Technologies, Sultan Moulay Slimane University, Beni Mellal, Morocco

    Brahim Sadki & Mourad Kaddiri

Authors
  1. Brahim Sadki
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  2. Mourad Kaddiri
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Correspondence to Brahim Sadki .

Editor information

Editors and Affiliations

  1. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

  2. Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

  3. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Sadki, B., Kaddiri, M. (2023). Study of a Simulator for the Diagnosis of Wind Farm Failures and the Development of Maintenance Strategies. In: Kacprzyk, J., Ezziyyani, M., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development. AI2SD 2022. Lecture Notes in Networks and Systems, vol 714. Springer, Cham. https://doi.org/10.1007/978-3-031-35245-4_5

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