Abstract
Genetic algorithm (GA) and particle swarm optimization (PSO) are well-known soft-computing optimization methods that have been applied successfully in many engineering applications. In this paper, GA and PSO are employed to optimize the switching angles for 3-phase 15-level binary asymmetrical cascaded H-bridge multilevel inverter (ACHBMLI). Both optimization algorithms are adapted and integrated into a selective harmonic elimination pulse width modulation (SHEPWM) based switching-angle calculation technique that aims to eliminate the undesired harmonics while maintain the desired fundamental harmonic. The performance of GA- and PSO-SHEPWM are compared in term of switching angles, objective function, cumulative distribution function and total harmonic distortion. For fair comparison, both GA- and PSO-SHEPWM are implemented and analyzed in MATLAB with the same population size and total number of iterations. Furthermore, a PSIM simulation model of 3-phase 15-level binary ACHBMLI has also been developed to validate the effectiveness of the optimized switching angles obtained by the GA- and PSO-SHEPWM.
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