Applied Computational Intelligence in Power Electronic Inverter to Mitigate Harmonics

Abstract

This paper implies the application of artificial intelligence technique on cascade five-level H-bridge inverter with equal DC sources for objective of harmonic reduction. The multilevel modulation technique adopted is selective harmonic elimination. The approach is the development of optimal switching angles using particle swarm optimization technique with precise software and hardware validation. Harmonic analysis has been done at both optimized and unoptimized angles to corroborate the significance of AI method. The total harmonic distortion at optimized and unoptimized angles has corroborated that AI algorithms hold requisite dominance in one of the challenging issues of harmonic reduction.