Offshore Wind Turbine Multi-physics Modelling
Zi Lin Department of of Naval Architecture, Ocean & Marine Engineering, University of Strathclyde
Operation and maintenance (O&M) account for a substantial part in wind turbine cost, mainly due to the assets’ high cost and the harsh environment they are operating. Modern wind turbines often rely on advanced machine learning technologies for assisting fault detection & identification but having difficulty in understanding the cause of these faults. For better supporting wind turbine condition monitoring and robotic inspection, and to understand how the mechanical failure and electrical failure will have an influence on each other, this study aims at developing a holisticadvanced model of dynamics for offshore wind turbines. A direct-drive wind turbine with a permanent magnet synchronous generator (PMSG) on a monopile foundation is introduced and the wind turbine mechanical components are modelled using the state-of-the-art aero-hydro-servo-elastic (AHSE) dynamic model. The electrical parts of the wind turbine model take account of a detailed representation of a PMSG and its fully rated voltage source converter (VSC). A comparison of the statistical values of the power distribution between steady wind and turbulent wind conditions shows that using a simplified model with steady winds fails to address the generous range of instantaneous power outputs.