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Integrated Renewable PV System through Artificial Neural Network Based MPPT and Water Cooling Treatment

Many research studies have focused on improving the performance of the solar photovoltaic PV systems by different means. From this point of view, this paper presents a new integrated standalone photovoltaic system which combines the merits of Neural Network for MPPT functioning, and the positive effect of water cooling treatment. The study proposes a detailed power requirements calculation of a DC appliances PV system. The presented system guarantees a reduction in the number of PV panels of more than 12%. MATLAB/Simulink based simulation results of the proposed system reflect the possibility of implementing a successful practical module.