Maximum Power Point Tracking in A Photovoltaic System Based on Artificial Neurons
Amel Ourici,
Bahi Abderaouf
Abstract:Objectives: This study seeks to assess the efficacy of an approach utilizing artificial neural networks for tracking the maximum power point (MPP) in photovoltaic systems. The main objective is to compare this method with the traditional perturb and observe technique, evaluating its effectiveness, particularly when faced with changing weather conditions. Methods: An artificial neural network was employed to model the relationship between the weather conditions such as irradiation and temperature and the maximu… Show more
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