Optimización heurística con criterios de error de control TMD en turbinas marinas flotantes

Abstract

Among the current deployment of renewable energy systems, floating wind turbines are a promising resource. They take advantage of the wind at deep seas, where it reaches higher and more constant speed. However, being located in deep waters they are subject to heavy loads, caused mainly by waves and wind. To reduce the vibrations in the structure, passive control devices can be used, which come from civil engineering. But its design and tuning are not a simple task due to the diverse goals that coexist in the application of these passive control systems. In this work the use of different methods of signal analysis for the optimization of TMD devices (Tuned Mass Damper) is explored through genetic algorithms. Various error criteria have been applied for the optimization in order to obtain a greater reduction of vibrations in the various elements of the floating turbine.