Evaluation of MPPT methods using fuzzy logic applied to a low power wind turbine

Carlos-Andrés Cholo, J. Ruiz, J. Guacaneme
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引用次数: 1

Abstract

The following article shows the implementation of MPPT's using fuzzy logic and a conventional algorithm known as P&O, both are applied to a low power wind turbine and the performance of each one is compared. Firstly, a model of the wind speed must be made, as it directly affects the system, therefore the extraction of the maximum power. Secondly, a model of the wind turbine, which is divided into static model and aerodynamic model, with which the angular speed of system modifies the output obtained, thus allowing the equipment to function at optimum point. Finally, an integration of each model is performed, in order to test the algorithms and prove the correct operation of each controller.
基于模糊逻辑的小功率风力发电机组MPPT评价
下面的文章展示了使用模糊逻辑和一种称为P&O的传统算法的MPPT的实现,这两种算法都应用于小功率风力涡轮机,并对每种算法的性能进行了比较。首先,必须建立风速模型,因为它直接影响系统,因此提取最大功率。其次,建立风力机的模型,该模型分为静态模型和气动模型,系统的角速度对得到的输出进行修正,从而使设备在最优点运行。最后,对每个模型进行了集成,以测试算法并证明每个控制器的正确运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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