Performance analysis of PV inverter in microgrid connected with PV system employing ANN control

As the power demand is increasing, the PV based microgrid has the important role to full fill the demand of energy today. In PV based microgrid, PV inverter is used to convert dc to ac with novel pulse width modulate control. A PWM is well known and powerful control technique for analog circuits. In this paper, we are discussing about inverter with neural network control to convert dc to 3-Phase ac in PV based microgrid. The neural network control is implementing by two layer network to produce the optimise switching signals for controlling voltage and current harmonics of dc to ac bridge inverter. The neural network keeps the current injected into the grid sinusoidal and improves the performance of the bridge inverter. The proposed system is verified though MATLAB simulation and the experimental results are compared with single phase three level grid connected PWM inverter.