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- W4287204034 abstract "This work presents a combined feedforward-feedback wake redirection framework for wind farm control. The FLORIS wake model, a control-oriented steady-state wake model is used to calculate optimal yaw angles for a given wind farm layout and atmospheric condition. The optimal yaw angles, which maximize the total power output, are applied to the wind farm. Further, the lidar-based closed-loop wake redirection concept is used to realize a local feedback on turbine level. The wake center is estimated from lidar measurements unit[3]{D} downwind of the wind turbines. The dynamical feedback controllers support the feedforward controller and reject disturbances and adapt to model uncertainties. Altogether, the total framework is presented and applied to a nine turbine wind farm test case. In a high fidelity simulation study the concept shows promising results and an increase in total energy production compared to the baseline case and the feedforward-only case." @default.
- W4287204034 created "2022-07-25" @default.
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- W4287204034 date "2021-04-21" @default.
- W4287204034 modified "2023-09-24" @default.
- W4287204034 title "Feedforward-Feedback wake redirection for wind farm control" @default.
- W4287204034 doi "https://doi.org/10.48550/arxiv.2104.10737" @default.
- W4287204034 hasPublicationYear "2021" @default.
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