Optimization of solar power by azimuthal angle and neural network control of a PV module

In recent year´s renewable energy sources have become a useful alternative for the power generation. Moreover conventional sources cause the pollution and global warming. In this work, the sun tracking algorithm is developed to track sun position to receive maximum radiation. DC power from solar panel is fed to the buck-boost converter for the adjustment of voltage at load end. The mathematical modeling of system component is done in MATLAB code. For maximum power point tracking artificial intelligent tools such as artificial neural network (ANN) is used. In this proposed system two control algorithms is applied simultaneously to get maximum power at output end. The complete system efficiency is obtained. System analysis is done in Kurukshetra India, so the latitude angle is taken accordingly.