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EXPERIMENTAL COMPARATIVE STUDY BETWEEN MPPT, HYBRID P&O AND FUZZY CONTROL FOR A SMALL WIND TURBINE APPLICATION

 |    : /

JANUARY-DECEMBER 2021   -  Volume: 10 -  Pages: [12 P.]

DOI:

https://doi.org/10.6036/ES10295

Authors:

IGNACIO MUGURUZA FERNANDEZ DE VALDERRAMA
-
ENEKO MOLA SANZ
-
MARLON GALLO TORRES
-
AITZOL UGARTEMENDIA ITURRIZAR
-
GONZALO ABAD BIAIN
-
DAVID ROMERO

Disciplines:

  • Power technology (FUENTES NO CONVENCIONALES DE ENERGIA )

Downloads:   102

How to cite this paper:  
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Received Date :   27 July 2021

Reviewing Date :   9 September 2021

Accepted Date :   4 November 2021


Key words:
MPPT, minieólica, P&O, Lógica Difusa, túnel de viento, aeroturbina de eje vertical, Darrieus, Savonius, generador síncrono de imanes permanentes, comparativa de controles, perfil de viento variable, inteligencia artificial, small wind turbine, P&O, Fuzzy Logic, wind tunnel, vertical axis wind turbine (VAWT), Darrieus, Savonius, permanent magnet synchronous generator (PMSG), control comparison, variable wind profile, artificial intelligence
Article type:
ARTICULO DE INVESTIGACION / RESEARCH ARTICLE
Section:
RESEARCH ARTICLES

ABSTRACT
This study focuses on a comparison between different maximum power extraction controls for a small wind turbine application. In this case, a vertical axis wind turbine (VAWT) coupled to a permanent magnet synchronous generator (PMSG) is used. The analysis is performed for variable winds, so that a real small wind turbine application is simulated. An experimental platform and a wind tunnel are used to recreate the different wind profiles. Diverse controls are compared, a "classical" MPPT, a hybrid Perturb & Observe control and a fuzzy control. Artificial intelligence allows the creation of control algorithms that are not bound by the mechanical parameters of the wind turbine, thus avoiding the need to characterize the wind turbine and define the maximum power curve. It is determined that, for almost constant wind profiles, the hybrid Perturb & Observe extracts more energy. However, for the same profile with greater variability, the fuzzy controller extracts more energy.

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