Long-term degradation estimation of wind turbine drive-train under a gain-scheduling control strategy according to the weather conditions - Archive ouverte HAL
Communication Dans Un Congrès Année : 2022

Long-term degradation estimation of wind turbine drive-train under a gain-scheduling control strategy according to the weather conditions

Résumé

This paper proposes a methodology to analyze the long-term degradation of a wind turbine drivetrain using a gain-scheduling control strategy considering the variation in the wind conditions. The degradation in the transmission is modeled through a simplified dynamical system based on contact mechanics, employing the dissipated energy as an indicator of the degradation in the shaft. In addition, a gain-scheduling control strategy is considered to assign a control gain according to the wind flow conditions. The long-term simulation is based on the accelerated degradation due to turbulent wind compared to the laminar flow. Numerical experiments were considered to illustrate the proposed approach, assuming a 2 MW variable speed-fixed pitch turbine with a horizontal axis and fixed gearbox.
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Dates et versions

hal-03796669 , version 1 (04-10-2022)

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Elena Esther Romero Fandino, John Jairo Martinez Molina, Christophe Bérenguer. Long-term degradation estimation of wind turbine drive-train under a gain-scheduling control strategy according to the weather conditions. AMEST 2022 - 5th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2022, IFAC; Universidad de los Andes; Tecnológico de Monterrey, Jul 2022, Bogotá, Colombia. pp.13-18, ⟨10.1016/j.ifacol.2022.09.177⟩. ⟨hal-03796669⟩
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