Selective Harmonic Elimination Technique for a 27-Level Asymmetric Multilevel Converter

Ignacio Torres; Javier Muñoz; Diego Rojas; Eduardo Espinosa

Keywords: multilevel power converters, total harmonic distortion, DC–AC power conversion

Abstract

In this paper, we present an implementation of selective harmonic elimination modulation technique in a 27-Level asymmetric multilevel converter. The main issue in this kind of converters is the generation of the gating patterns to obtain an optimized AC voltage waveform. State-of-the art solutions use deep mathematical analysis in the frequency domain by means of the Fourier series, but they are mainly applied for two-level or symmetric multilevel converters. On the other hand, the modulation for asymmetric multilevel converters is mainly focused on nearest level control or nearest vector control. In this work, we propose a novel modulating technique that takes advantage of the switching angles optimization for a 27-level waveform. In fact, different set of solutions are obtained and presented in order to define the modulation index as well as the value of the switching angles for the multilevel waveform. A modulation index sweep was performed for the entire operating region of the converter, where it can be observed that the number of levels decreases when the modulation index is low, which are calculated in order to minimize the total harmonic distortion (THD) of the resulting voltage waveform. In order to validate the proposal, these results for different modulation indexes values are simulated, obtaining a THD < 5% for a modulation index 0.75 < M < 1.0. Finally, a small scale proof-of-concept prototype is implemented in order to validate the proposal.

Más información

Título de la Revista: ENERGIES
Volumen: 15
Número: 10
Editorial: MDPI
Fecha de publicación: 2022
Página de inicio: 1
Página final: 17
Idioma: English
Financiamiento/Sponsor: Project ANID/FONDECYT 1191028, ANID Becas/Doctorado Nacional 21201878.
URL: https://www.mdpi.com/1996-1073/15/10/3694
Notas: WoS core collection ISI