Methodology to Compare Meta-heuristic Algorithms to Solve Selective Harmonic Elimination-PWM and Optimal Pulse Pattern Formulations
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2021-10-13
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IEEE Computer Society
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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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Ibanez-Hidalgo , I , Oregi , I , Gil-Lopez , S , Perez-Basante , A , Sanchez-Ruiz , A , Pujana , A , Zubizarreta , A & Ceballos , S 2021 , Methodology to Compare Meta-heuristic Algorithms to Solve Selective Harmonic Elimination-PWM and Optimal Pulse Pattern Formulations . in IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society . IECON Proceedings (Industrial Electronics Conference) , vol. 2021-October , IEEE Computer Society , 47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021 , Toronto , Canada , 13/10/21 . https://doi.org/10.1109/IECON48115.2021.9589242
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