Abstract:

Wind energy is expected to be the largest European source of energy by 2030 and therefore largely responsible for enabling Europe to achieve its goal of having at least 27% of its electrical energy generated by renewable sources. In existing and new wind farms the wind turbines still operate on an individual level, therefore each wind turbine optimizes its own power production, resulting in sub-optimal power output at wind farm level. Previously, many researchers showed that yaw control, which is an already existing control degree of freedom, can help minimize the interaction between different turbines for existing wind farms under quasi-steady conditions. However, for realistic inflow conditions a challenging time-varying control problem has to be solved. For this emerging field a dynamic control solution is still lacking. In this presentation, I will present recent results and challenges for the field of dynamic wind farm control.

Biography:

Jan-Willem van Wingerden graduated cum laude in mechanical engineering at TU Delft in 2004. In 2008 he obtained his doctorate, cum laude, in mechanical engineering at the Delft Center for Systems and Control (DCSC) for his study Control of Wind Turbines with ‘Smart’ Rotors: Proof of Concept & LPV Subspace. After obtaining his doctorate, Wingerden started working as a tenure tracker at DCSC (3mE). In 2012 he was awarded an NWO Veni grant and in 2019 an NWO VIDI grant both in the field of wind farm control. Since 2017 he is leading the data-driven control section within the Delft Center for Systems and Control, where he is currently a Full Professor .
Jan-Willem is passionate about the development of data-driven control systems for wind turbines and wind farms. In recent years he and his team developed novel data-driven flow models for coordinated wind farm control and showed that these models are key enablers for robust closed-loop wind farm control.