Using The Neural Network to Track Maximum Point of Photovoltaic Cells Power and Improve Efficiency In Partial Shade Conditions

Mohammad Ali Tamayol, Sina Salmanipour, Hamid Reza Abbasi, Nader Kazemi


Using solar energy has been increasing in the last decade. This has increased researcher’s motivation to investigate on solar cells and improve terms of its use. Such modern methods in this field are to use smart methods to operate and track power maximum point. In this article, the smart method based on the neural network to track power maximum point even in shade conditions is used. Considering partial shade effect and maximum power point tracking in these conditions, using neural network helps to improve cell operation and decrease uncertainty effect in the cell. This method simulation has been done in MATLAB software.


Solar cell, Photovoltaic, Maximum Power Point Tracking (MPPT), Neural Network, Partial Shade

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