The objective is to optimize the power flow while considering grid cost, predictions, data, grid power constraints, and storage capabilities into consideration. The variable factors IOT (Internet of Thing) and their effects on the micro grid operating problem via the limiting concentration points. The hybrid system is a combination of the several types of energy sources generated with different conversion methods. The energy is generated with either wind or solar with a voltage control-based genetic algorithm in the existing method. The existing method output voltage is constant, but noise appears in between the output waveform, so the output cannot give the constant voltage source in Micro gird. In the proposed method implementation of artificial intelligence by voltage control based hybrid system. Both solar and wind are the input source and converting the getting source voltage. The solar is the DC (Direct current) input source with battery energy management. A micro grid is a small scale while protecting the output load without any fluctuation. In this technique, the whole mechanism has to connect with the DC bus for a hybrid management system based on a combination of two different sources. The controller algorithm technique is the Artificial Intelligence gives the pulse width modulation for getting the better output voltage source. The result will get the better-balanced output and the voltage with the constant backup of Battery energy management from the unbalanced voltage input source. The experiment through both the hardware based on load voltage and software while using the Mat lab technique