When: May 04 2023 @ 1:30 PM

Location: Gilman 132

When: May 4th at 1:30 p.m.

Title: Toward wind farm control for power tracking

Abstract: Transitioning into the role of a major power system supplier necessitates new models and control designs that enable wind farms to provide the grid services that are often required of conventional generators. This talk introduces control oriented models to enable wind farms to track a time-varying power signal. We first demonstrate that model-based receding horizon control can be used to exploit aerodynamic interactions within the farm to enable a controlled wind farm to qualify for participation in markets for correcting short-term imbalances in active power generation and load on the power grid (frequency regulation) with greater efficiency than single turbine control. While this dynamic wake model provides a proof of concept for real-time wind farm power tracking, it does not account for changes in wind direction or the effects of dynamic yawing of the turbine. The second part of the talk describes a dynamic graph model that can account for both of these effects. Finally, we demonstrate how this model can be used in a simple combined pitch and yaw control to increase actuation authority over pitch control alone.