Power quality enhancement employing genetic algorithm based asymmetrical multilevel inverter

Abstract

This paper presents the performance and power quality analysis of Asymmetrical Cascaded Multilevel Inverter in terms of various parameters like voltage, current and Total Harmonic Distortion. Simulations of Asymmetrical Cascaded Multilevel Inverter are performed and analyzed for different levels of output voltages with harmonic profile. Genetic Algorithm is used to find out the switching angles at fundamental frequency through optimized harmonic elimination technique. From simulation and experimental results, Genetic Algorithm has improved the harmonic profile of voltage and current for various possible Modulation Index values. Experimental results are compared with the simulation results for showing reduction of lower order harmonics after applying Genetic Algorithm based switching angles. Improvement has been achieved in voltage and current waveform. Total Harmonic Distortion and switching losses have been measured for various Modulation Index values.