Enhancing the control of doubly fed induction generators using artificial neural networks in the presence of real wind profiles
Chaimae Dardabi,
Abdelouahed Djebli,
Hamid Chojaa
et al.
Abstract:This study tackles the complex task of integrating wind energy systems into the electric grid, facing challenges such as power oscillations and unreliable energy generation due to fluctuating wind speeds. Focused on wind energy conversion systems, particularly those utilizing double-fed induction generators (DFIGs), the research introduces a novel approach to enhance Direct Power Control (DPC) effectiveness. Traditional DPC, while simple, encounters issues like torque ripples and reduced power quality due to a… Show more
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