Adaptive maximum power point tracking using neural networks for a photovoltaic systems according grid

• Main Authors: Sahraoui, H., Mellah, H., Drid, S., Chrifi-Alaoui, L.
• Format: Article
• Language: English
• Published: National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine” 2021
• Subjects: штучна нейронна мережа; підключена до мережі; адаптивне модифіковане збурення та спостереження; штучна нейронна мережа-відстеження точки максимальної потужності; grid-connected artificial neural network; adaptive modified perturbation and observation; artificial neural network-maximum power point tracking
• Online Access: http://eie.khpi.edu.ua/article/view/242511

Introduction. This article deals with the optimization of the energy conversion of a grid-connected photovoltaic system. The novelty is to develop an intelligent maximum power point tracking technique using artificial neural network algorithms. Purpose. Intelligent maximum power point tracking techn...