This dissertation presents methods to improve wind condition awareness on wind turbine and farm level. The methods' capabilities include the load-based wind sensing on the individual turbine rotor, the subsequent detection of wakes within a wind farm, and the learning from turbine measurements to improve and tune control-oriented wind farm models. As a result, a wake steering wind farm controller has been successfully implemented and tested in a scaled wind farm, increasing total farm power and reducing loads.
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This dissertation presents methods to improve wind condition awareness on wind turbine and farm level. The methods' capabilities include the load-based wind sensing on the individual turbine rotor, the subsequent detection of wakes within a wind farm, and the learning from turbine measurements to improve and tune control-oriented wind farm models. As a result, a wake steering wind farm controller has been successfully implemented and tested in a scaled wind farm, increasing total farm power and...
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