Neural Networks for Maximum Power Point Tracking Application to Silicon and CIGS Photovoltaic Modules

摘要: The paper presents a maximum power point tracking algorithm based on neural network implementation and aimed to search the optimal working in two different photovoltaic technologies coupled buck-boost DC-DC converter. generates current reference for control that manages converter switches. analyzes training reports results obtained considering PV technologies.