%0 Generic
%A Ibanez-Hidalgo, Irati
%A Oregi, Izaskun
%A Gil-Lopez, Sergio
%A Perez-Basante, Angel
%A Sanchez-Ruiz, Alain
%A Pujana, Ainhoa
%A Zubizarreta, Asier
%A Ceballos, Salvador
%T Methodology to Compare Meta-heuristic Algorithms to Solve Selective Harmonic Elimination-PWM and Optimal Pulse Pattern Formulations
%J IECON Proceedings (Industrial Electronics Conference)
%D 2021
%U https://hdl.handle.net/11556/2116
%X Low switching frequency modulation techniques such as Selective Harmonic Elimination-Pulse Width Modulation (SHE-PWM) or Optimal Pulse Pattern (OPP) are commonly used in medium voltage-high power multilevel converters to improve their efficiency. These techniques require solving non-linear equations in order to calculate the firing angles. These equations can be solved by meta-heuristic optimization algorithms, which depend on a set of hyperparameters that must be properly adjusted to ensure their effectiveness. This paper presents a methodology to tune different meta-heuristic algorithms to fairly compare them and select the best algorithm to solve SHE-PWM/OPP formulation. The methodology is applied considering different meta-heuristic algorithms such as genetic algorithm, differential evolution, harmony search and simulated annealing. It has been validated in SHE-PWM and OPP techniques with different number of firing angles.
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