METHOD AND SYSTEM FOR CONTROLLING A QUANTITY OF A WIND TURBINE BY CHOOSING THE CONTROLLER VIA MACHINE LEARNING

摘要

The present invention relates to a method for controlling a quantity of a wind turbine through the online automatic selection of a controller which minimizes wind turbine fatigue. To this end, the method is based on a database (BDD) (constructed offline) of simulations of a list (LIST) of controllers, and on an online machine learning step in order to determine the optimal controller in terms of wind turbine (EOL) fatigue. Thus, the method allows the online automatic selection of controllers on the basis of a fatigue criterion, and switching between the controllers according to changes in the measured wind conditions.