Técnicas de control inteligente para el seguimiento del punto de máxima potencia en turbinas eólicas

  1. Muñoz-Palomeque, Eduardo 1
  2. Sierra-García, Jesús Enrique 1
  3. Santos, Matilde 2
  1. 1 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

  2. 2 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

Revista:
Revista iberoamericana de automática e informática industrial ( RIAI )

ISSN: 1697-7920

Año de publicación: 2024

Volumen: 21

Número: 3

Páginas: 193-204

Tipo: Artículo

DOI: 10.4995/RIAI.2024.21097 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Revista iberoamericana de automática e informática industrial ( RIAI )

Resumen

El seguimiento del punto de máxima potencia (MPPT) es una etapa esencial en la operación de las turbinas eólicas para garantizar una generación de energía eficiente. En los últimos años se han diseñado y aplicado técnicas de control avanzadas para lograr este objetivo, solventando algunas de las limitaciones de los métodos clásicos. Este artículo proporciona una visión general de las estrategias existentes y describe con más detalle algunas configuraciones de control específicas, explicando su utilidad y proporcionando una base para futuros desarrollos. En concreto incluye técnicas de control basadas en inteligencia artificial para el estudio del control MPPT en aerogeneradores. Se ejemplifican dos estrategias de control inteligente: una red neuronal y un controlador de lógica borrosa. Estos enfoques se enmarcan en la regulación del par electromagnético del generador y, en consecuencia, de la velocidad angular del sistema, mejorando la generación de potencia. Los resultados evidencian los beneficios de estos controladores inteligentes para maximizar la potencia y mejorar el proceso de conversión de energía.

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