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Active power control for wind farms is needed to provide ancillary services. One of these services is to track a power reference signal with a wind farm by dynamically de- and uprating the turbines. In this paper we present a closed-loop wind farm controller that evaluates 1) thrust coefficients on a seconds-scale that provide power tracking and minimize dynamical loading on a farm level and 2) yaw settings on a minutes-scale that maximize the possible power that can be harvested by the farm. The controller is evaluated in a high-fidelity wind farm model. A six-turbine simulation case study is used to demonstrate the time-efficient controller for different controller settings. The results indicate that, with a power reference signal below the maximal possible power that can be harvested by the farm with non-yawed turbines, both tracking and reduction in dynamical loading can be ensured. In a second case study we illustrate that, when a wind farm power reference signal exceeds the maximal possible power that can be harvested with non-yawed turbines for a time period, it can not be tracked sufficiently. However, when solving for and applying optimized yaw settings, tracking can be ensured for the complete simulation horizon.
Wake redirection control, FLORIS, model predictive control, active power control, wake steering, Closed-loop wind farm control, wind farm control, yaw control, Active power control, Wind farm control, 629, MPC, turbine derating, derating, secondary frequency regulation, Model predictive control, induction control
Wake redirection control, FLORIS, model predictive control, active power control, wake steering, Closed-loop wind farm control, wind farm control, yaw control, Active power control, Wind farm control, 629, MPC, turbine derating, derating, secondary frequency regulation, Model predictive control, induction control
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