Voltage Harmonic Reduction of Cascaded H-bridge Multilevel Inverter Based on SHEPWM by Using Optimized Immune Algorithm

Yiran Peng, Ruiqi Gong, Junxi Zhou, Tao Chen, Qinyao Liu, Xuchen Wang

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

The utilization of Selected Harmonic Elimination Pulse Width Modulation (SHEPWM) technology poses a significant challenge in addressing nonlinear equations due to its inherent complexity. To tackle this specific issue, this paper integrates the Immune Algorithm (IA) with SHEPWM. The IA, implemented using MATLAB, was employed to compute the modeling results for qualified switching angles. The simulation outcomes demonstrate that the application of IA in SHEPWM surpasses other algorithms in terms of Total Harmonic Distortion (THD) reduction and the Fast Fourier Transform (FFT) of line voltage in eliminating harmonics of a cascaded H-bridge multilevel inverter. This superiority arises from its enhanced performance in convergence rate and its ability to address local optima.

Original languageEnglish
Title of host publication2023 IEEE 6th Student Conference on Electric Machines and Systems, SCEMS 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9798350329346
DOIs
Publication statusPublished - 2023
Event6th IEEE Student Conference on Electric Machines and Systems, SCEMS 2023 - Hybrid, Huzhou, China
Duration: 7 Dec 20239 Dec 2023

Publication series

NameIEEE Student Conference on Electric Machines and Systems (SCEMS)
ISSN (Electronic)2771-7577

Conference

Conference6th IEEE Student Conference on Electric Machines and Systems, SCEMS 2023
Country/TerritoryChina
CityHybrid, Huzhou
Period7/12/239/12/23

Keywords

  • Cascaded H-bridge Multilevel Inverter
  • Immune Algorithm
  • SHEPWM
  • Voltage Harmonic Reduction

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