Harmonic Mitigation of a Solar FED Cascaded H-Bridge inverter using Artificial Neutral Network

(ANN) for estimating switching angle in an 11 level full bridge cascaded multilevel inverter with optimal pulse width modulation, which was powered by five varying dc input sources. A solar panel was connected to each cascaded inverter. For a given modulation index the optimal switching angles with lowest THD is generated using trained neural network by replacing look-up table is proposed in this paper. The odd harmonics ( 5,7,11) in the inverter is eliminated by using the trained network. Theoretical concepts have been validated in simulation results using artificial neural network technique which shows the high performance and technical advantages of the developed system. keywords- Active power filter, distributed energy resources (DERs), harmonics injection, optimal pulse width modulation (OPWM), selective harmonics compensation (SHC), Artificial Neural Network(ANN