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Structural Control Optimization in Offshore Floating Wind Turbines of the Barge Type through Evolutionary Computation

Authors: null Thayza V. Melo; null Luciana F. Almeida; null Juan G. Lazo Lazo;

Structural Control Optimization in Offshore Floating Wind Turbines of the Barge Type through Evolutionary Computation

Abstract

Offshore wind turbines have the potential to transform electricity production. Floating platforms have been developed to generate profitable and efficient energy in deep waters, but still face significant challenges. This work proposes the use of evolutionary computation to optimize passive structural control techniques in floating barge-type wind turbines, aiming to mitigate pendular loads. Control devices, such as Tuned Mass Dampers (TMDs), are analyzed in the FAST-SC simulator. Optimization uses the standard deviation of tower fatigue as a fitness function. The optimization seeks to improve TMD performance, limiting the stroke to the nacelle.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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