Gain-scheduling wind-turbine control to mitigate the effects of weather conditions on the drive-train degradation

Elena Esther Romero Fandino (1) , Christophe Bérenguer (1) , John Jairo Martinez Molina (1)

1 GIPSA-SAFE - GIPSA - Safe, Controlled and Monitored Systems

This paper presents a gain-scheduling wind-turbine control strategy to mitigate the effects of adverse weather conditions on the degradation of the drive-train. By choosing a suitable control gain according to the wind class, it is possible to establish a trade-off between generated energy and drive-train degradation. The dissipated energy in the mechanical transmission is used as an indicator of degradation. The drive-train is modeled as a flexible shaft using nonlinear dynamics of a mass-spring-damper system. Simulations consider a variable speed-fixed pitch turbine of 2 MW (100 m rotor diameter), with a horizontal axis and fixed gearbox. The results show that the proposed gain-scheduling control strategy maintains the desired turbine efficiency by adequately managing the drive-train degradation according to the wind turbulence conditions.

Mots clés: Wind Turbine Control; Gain-Scheduling control; Degradation Management; Wind Conditions

Domaines: Automatique / Robotique; Applications [stat.AP]

Elena Esther Romero Fandino, Christophe Bérenguer, John Jairo Martinez Molina. Gain-scheduling wind-turbine control to mitigate the effects of weather conditions on the drive-train degradation. SAFEPROCESS 2022 - 11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, IFAC; University of Cyprus, Jun 2022, Pafos, Cyprus. pp.6, ⟨10.1016/j.ifacol.2022.07.179⟩. ⟨hal-03717796⟩