Enhancement of Direct Power Control by Using Artificial Neural Network for a Doubly Fed Induction Generator-Based WECS: An Experimental Validation

Enhancement of Direct Power Control by Using Artificial Neural Network for a Doubly Fed Induction Generator-Based WECS: An Experimental Validation

Direct power control (DPC) is among the most popular control schemes used in renewable energy because of its many advantages such as simplicity, ease of execution, and speed of response compared to other controls. However, this method is characterized by defects and problems that limit its use, such...

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Bibliographic Details
Main Authors:	Hamid Chojaa, Aziz Derouich, Seif Eddine Chehaidia, Othmane Zamzoum, Mohammed Taoussi, Habib Benbouhenni, Said Mahfoud
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Series:	Electronics
Subjects:	artificial neural network direct power control backstepping control doubly-fed induction generator dSPACE DS1104 controller
Online Access:	https://www.mdpi.com/2079-9292/11/24/4106

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