New intelligent direct power control of DFIG-based wind conversion system by using machine learning under variations of all operating and compensation modes

New intelligent direct power control of DFIG-based wind conversion system by using machine learning under variations of all operating and compensation modes

Wind Turbine (WT)-based Doubly-Fed Induction Generator (DFIG) is a nonlinear system, in which the wind has variable behavior, and the local reactive power depends on the random demand of the AC grid; all these make conventional controls insufficient for an adequate power output. Thus, a new direct p...

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Bibliographic Details
Main Authors: Younes Sahri, Salah Tamalouzt, Farid Hamoudi, Sofia Lalouni Belaid, Mohit Bajaj, Mosleh M. Alharthi, Mohammed S. Alzaidi, Sherif S.M. Ghoneim
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Energy Reports
Subjects:
Wind energy conversion system
Direct power control
Artificial intelligence techniques
Machine learning
Neuro-fuzzy control
Doubly fed induction generator
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484721008805

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http://www.sciencedirect.com/science/article/pii/S2352484721008805

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