Artificial neural network based maximum power point tracking controller for photovoltaic standalone system

• Main Authors: Khanaki, Razieh, Mohd Radzi, Mohd Amran, Marhaban, Mohammad Hamiruce
• Format: Article
• Language: English
• Published: Taylor & Francis 2016
• Online Access: http://psasir.upm.edu.my/id/eprint/43074/1/Artificial%20neural%20network%20based%20maximum%20power%20point%20tracking%20controller%20for%20photovoltaic%20standalone%20system.pdf; http://psasir.upm.edu.my/id/eprint/43074/; http://www.tandfonline.com/doi/abs/10.1080/15435075.2014.910783?journalCode=ljge20
• Institution: Universiti Putra Malaysia

This article presents a two-stage maximum power point tracking (MPPT) controller using artificial neural network (ANN) for photovoltaic (PV) standalone system, under varying weather conditions of solar irradiation and module temperature. At the first-stage, the ANN algorithm locates the maximum powe...