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.

引用

页数：5

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