Technical FAQs 4

What is a closed-loop model-based wind farm control framework?

Fig. 1. The closed-loop model-based wind farm control framework. A simplified surrogate model of the wind farm is used to represent the flow and turbine behavior at a low computational cost. The first step in the controller is model adaptation, implying the estimation of the inputs relevant for the current wind farm situation.

Can a closed-loop wind control solution be used in a high-fidelity simulation?

This closed-loop and model-based control solution was tested in a high-fidelity simulation subjected to a time-varying inflow, being the first of its kind in the literature. The wind direction and wind speed in the simulation contain strong changes to stress-test the controller.

What is setpoint optimization in a closed-loop model-based wind farm control framework?

Secondly, the setpoint optimization leverages the adapted surrogate model to find the turbine control setpoints that maximize a certain objective. In this work, the objective is power maximization and the control variables are the turbine yaw angles. Fig. 1. The closed-loop model-based wind farm control framework.

Can a surrogate model be used to design a closed-loop wind farm controller?

The surrogate model of Section 3 is used to design a closed-loop wind farm controller. The wind farm studied in this article is a virtual offshore wind farm with six DTU 10 MW turbines spaced at 5 D × 3 D as shown in Fig. 6. The model adaptation algorithm is described in Section 4.1.

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