Abstract

Abstract The best way to avoid Global warming is to minimize or nullify the usage of Fossil Fuels. Renewable Energy sources are best alternative to Fossil fuels. The solar Energy is best among other Green Energy sources since, it is available everywhere and all the day. The Maximum Power Point Tracking technique is a boom to extract Maximum possible Power from the sun's radiation. Irradiance is the situational task to be handled effectively to achieve the maximum power generation from Photo Voltaic Array modules. This paper proposes a centralized embedded controller to handle the said situation in effective way, and it proposes a Modified Centralized Decision Algorithm for Photo Voltaic System (MCDA-PVS). The two level proposed system starts with a comparative analysis ADBFOA, M-WOA based XSG model and M-EHO technique, following with the implementation of Modified Markovian Sequential Decision Making (MMSM) Algorithm. The MMSM is opting better protocol under irradiance scenario of the Sun. The complete system is coded using Math Lab Simulink and a proto type is developed using 50 Watts 12 Volts Photo Voltaic Array systems. The proto type results are matched with simulation values as well it has been compared with existing methodologies. The results produced displays better performance with superiority.

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