TY - GEN
T1 - Methodology to Compare Meta-heuristic Algorithms to Solve Selective Harmonic Elimination-PWM and Optimal Pulse Pattern Formulations
AU - Ibanez-Hidalgo, Irati
AU - Oregi, Izaskun
AU - Gil-Lopez, Sergio
AU - Perez-Basante, Angel
AU - Sanchez-Ruiz, Alain
AU - Pujana, Ainhoa
AU - Zubizarreta, Asier
AU - Ceballos, Salvador
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/10/13
Y1 - 2021/10/13
N2 - 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.
AB - 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.
KW - cost function
KW - hyperparameter
KW - meta-heurisitc algorithm
KW - OPP optimization
KW - SHE-PWM
UR - http://www.scopus.com/inward/record.url?scp=85119480637&partnerID=8YFLogxK
U2 - 10.1109/IECON48115.2021.9589242
DO - 10.1109/IECON48115.2021.9589242
M3 - Conference contribution
AN - SCOPUS:85119480637
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE Computer Society
T2 - 47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021
Y2 - 13 October 2021 through 16 October 2021
ER -