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

• Datum: 2021
• Hauptverfasser: Sahraoui, H., Mellah, H., Drid, S., Chrifi-Alaoui, L.
• Format: Artikel
• Sprache: Englisch
• Veröffentlicht: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2021
• Schlagworte: grid-connected artificial neural network; adaptive modified perturbation and observation; artificial neural network-maximum power point tracking
• Online Zugang: https://eie.khpi.edu.ua/article/view/242511
• Назва журналу: Electrical Engineering & Electromechanics

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...