The thesis will focus on how to increase wind energy production using machine learning algorithms, in particular reinforcement learning algorithms. The recent aspirations for a more sustainable energy system and the reduction of CO2 have started a transformation in the power networks. Traditionally considered as passive systems, the power grids are undergoing a rapid change with the introduction of more distributed energy resources. Their introduction requires a better control of the networks to ensure reliability and avoid energy losses. A technical consequence of these devices is the increased number of network’s problems, like over voltages of the lines. This could damage the devices connected to the grid, with social and economic consequences.