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Artificial Neural Network Control for Solar – Wind Based Micro Grid

Global warming and climate change are now the most uncontrollable global issues owing to the significant usage of fossil fuels for electricity generation. Nowadays, most wealthy nations are focusing on generating alternative resources, and as a result, they made significant expenditures in research and development. Alternative energy which are generally not damaging to the environment. PV, wind energy, and energy storage utilising batteries are explored in this work under varied weather circumstances. The MPPT is most commonly adopted for uncertain weather. A new algorithm is proposed with artificial neural network in this paper. For a hybrid energy system, the Artificial neural network controller is used to enhance power quality and lower THD. For the proposed system, Simulink is used, and its performance is tested in a variety of operating scenarios. Finally, IEEE 1547 standard is used to assess the simulation findings and verified.