Optimization of multilevel inverters using novelty-driven Multi-verse Optimization algorithm

Oguzhan Ceylan, Mehdi Neshat, Seyedali Mirjalili

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

Abstract

All over the world, renewable energy technologies which need power electronics based inverters in their designs are becoming more and more popular, thus detailed analysis to test the operational efficiency is required. This paper utilizes a new adaptive Multi-verse Optimization (MVO) Algorithm combined with novelty search method to solve harmonic elimination problem in multilevel inverters. We compare the obtained numerical simulations to those obtained by using the grey wolf optimization and standard MVO algorithm. The numerical simulations are performed on 7, 11, and 15 level inverters with different modulation indexes. From the simulation results, we observe that adaptive novelty search Multi-verse Optimization (MVO) based approach was able to obtain less total harmonic distortion for different modulation indexes.

Original languageEnglish
Title of host publication2021 56th International Universities Power Engineering Conference
Subtitle of host publicationPowering Net Zero Emissions, UPEC 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665443890
DOIs
Publication statusPublished - 31 Aug 2021
Event56th International Universities Power Engineering Conference, UPEC 2021 - Virtual, Middlesbrough, United Kingdom
Duration: 31 Aug 20213 Sep 2021

Publication series

Name2021 56th International Universities Power Engineering Conference: Powering Net Zero Emissions, UPEC 2021 - Proceedings

Conference

Conference56th International Universities Power Engineering Conference, UPEC 2021
Country/TerritoryUnited Kingdom
CityVirtual, Middlesbrough
Period31/08/213/09/21

Keywords

  • Harmonic distortion
  • Local search
  • Multi-verse Optimization
  • Multilevel inverters
  • Novelty search
  • Optimization
  • Selective harmonic elimination

Fingerprint

Dive into the research topics of 'Optimization of multilevel inverters using novelty-driven Multi-verse Optimization algorithm'. Together they form a unique fingerprint.

Cite this