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.
«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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