RT Conference Proceedings
T1 Methodology to Compare Meta-heuristic Algorithms to Solve Selective Harmonic Elimination-PWM and Optimal Pulse Pattern Formulations
A1 Ibanez-Hidalgo, Irati
A1 Oregi, Izaskun
A1 Gil-Lopez, Sergio
A1 Perez-Basante, Angel
A1 Sanchez-Ruiz, Alain
A1 Pujana, Ainhoa
A1 Zubizarreta, Asier
A1 Ceballos, Salvador
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.
PB IEEE Computer Society
SN 9781665435543
YR 2021
FD 2021-10-13
LK https://hdl.handle.net/11556/2116
UL https://hdl.handle.net/11556/2116
LA eng
NO 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
NO conference
NO Publisher Copyright: © 2021 IEEE.
NO ACKNOWLEDGMENT This work has been supported by the Basque Government within the Research program ELKARTEK under projects: CONVADP (KK-2020/00091) and BIKAINTEK (005-B2-2020).
DS TECNALIA Publications
RD 29 jul 2024