A multiobjective genetic algorithm for the optimization of the THD and the RMS output voltage in a multilevel converter with 17 levels of line voltage

被引：0
|
作者：
Pabon Fernandez, Luis David [1 ]
Diaz Rodriguez, Jorge Luis [1 ]
Caicedo Penaranda, Edison Andres [1 ]
机构：
[1] Univ Pamplona, Elect Engn Program, Pamplona, Colombia
来源：
2019 IEEE COLOMBIAN CONFERENCE ON APPLICATIONS IN COMPUTATIONAL INTELLIGENCE (COLCACI) | 2019年
关键词：
Optimization; multiobjective optimization; genetic algorithms; multilevel converter; PWM; THD; RMS; SELECTIVE HARMONIC ELIMINATION; INVERTER; PWM;
D O I：
10.1109/colcaci.2019.8781801
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper deals with the application of a multiobjective optimization algorithm that allows obtaining an almost sine waveform through a multilevel PWM modulation for a power converter of 17 levels of line voltage. The goal of this work is to achieve values of total harmonic distortion (THD) with levels very close to 0% in the first 50 harmonics, without affecting the root mean square voltage (RMS), keeping it at a desired value. To validate the performance of the algorithm, a cascaded multilevel power converter with H-bridges in common source topology was simulated, with an asymmetry of 1:3 ratio. The results allow verify the proper THD optimization of the first 50 harmonics keeping the RMS value of the output voltage constant.
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页数：5
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