2024
DOI: 10.5829/ije.2024.37.07a.10
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Enhancing Wind Power Conversion System Control Under Wind Constraints Using Single Hidden Layer Neural Network

A. Mazari,
H. Ait Abbas,
K. Laroussi
et al.

Abstract: In the realm of wind power generation, cascaded doubly fed induction generators (CDFIG) play a pivotal role. However, the classical proportional integral derivative (PID) controllers used within such systems often struggle with instability and inaccuracies arising from wind variability. This study proposes an enhancement to overcome these limitations by incorporating a single hidden layer neural network (SHLNN) into the wind power conversion systems (WPCS). The SHLNN aims to complement the PID controller by ad… Show more

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