Optimization of Harmonic Function in Hybrid Multilevel Inverter Using Genetic Algorithm

Meta heuristics, such as the genetic algorithm (GA), have been used with success to compute optimal switching angles for hybrid multilevel inverters with many dc sources while minimizing several harmonics. Hybrid multi level inverters of 15 level inverters using 12 switches to minimizing harmonics and the optimization is proposed in order to accelerate the computation of the optimal switching angles for hybrid multilevel inverters with varying dc sources. Multilevel inverters form a popular class of high power inverters due to their high-voltage operation, high efficiency, low switching losses, and low electromagnetic interference. The proposed solution optimizes hybrid multi level inverters with four variable dc sources while minimizing the harmonics in 20 mille seconds. Simulation of cascaded H-Bridge multilevel inverter of single phase 15- level cascaded multilevel inverter is presented and the output waveforms were observed using MATLAB.