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

Juan Almenara Ahijón, Matilde Santos, M. Tomás-Rodríguez
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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.
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在当前可再生能源系统的部署中,浮动风力涡轮机是一种很有前途的资源。它们利用深海的风,在那里风达到更高和更恒定的速度。然而,由于位于深水区,它们要承受主要由海浪和风引起的沉重负荷。为了减小结构的振动,可以采用被动控制装置,这种方法来源于土木工程。但是,由于在这些被动控制系统的应用中共存的各种目标,其设计和调谐并不是一项简单的任务。在这项工作中,通过遗传算法探索了使用不同的信号分析方法来优化TMD设备(调谐质量阻尼器)。为了使浮动水轮机各部件的振动得到更大的减小,采用了各种误差准则进行优化。
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