Integral sliding mode control for DFIG based WECS with MPPT based on artificial neural network under a real wind profile

Integral sliding mode control for DFIG based WECS with MPPT based on artificial neural network under a real wind profile

Handling the internal parametric variations and the nonlinearities of the high rated wind energy conversion system (WECS) is remained among the main challenges to maximize the produced energy, ameliorate its quality and ensure its efficient integration on the grid. In this context, a robust integral...

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Bibliographic Details
Main Authors: Hamid Chojaa, Aziz Derouich, Seif Eddine Chehaidia, Othmane Zamzoum, Mohammed Taoussi, Hasnae Elouatouat
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Energy Reports
Subjects:
Wind energy conversion system (WECS)
MPPT algorithm
Artificial neural network controller (ANN)
Integral sliding mode controller (ISMC)
Field Oriented Control (FOC)
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472100531X

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http://www.sciencedirect.com/science/article/pii/S235248472100531X

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