Optimization of Multilevel Inverters Using Novelty-driven Multi-verse Optimization Algorithm

dc.authorid Mirjalili, Seyedali/0000-0002-1443-9458
dc.authorwosid Mirjalili, Seyedali/P-1372-2018
dc.contributor.author Ceylan, Oğuzhan
dc.contributor.author Neshat, Mehdi
dc.contributor.author Mirjalili, Seyedali
dc.contributor.other Management Information Systems
dc.date.accessioned 2023-10-19T15:11:50Z
dc.date.available 2023-10-19T15:11:50Z
dc.date.issued 2021
dc.department-temp [Ceylan, Oguzhan] Kadir Has Univ, Management Informat Syst, Istanbul, Turkey; [Neshat, Mehdi; Mirjalili, Seyedali] Torrens Univ Australia, Ctr Artificial Intelligence Res & Optimizat, Brisbane, Qld 4006, Australia en_US
dc.description 56th International Universities Power Engineering Conference (UPEC) - Powering Net Zero Emissions -- AUG 31-SEP 03, 2021 -- Teesside Univ, ELECTR NETWORK en_US
dc.description.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. en_US
dc.description.sponsorship IEEE,IEEE United Kingdom & Ireland Sect,IEEE Power & Energy Soc,Inst Engn & Technol,Lucas Nulle,MDPI, Elect Journal,MDPI, Energies Journal en_US
dc.identifier.citationcount 0
dc.identifier.doi 10.1109/UPEC50034.2021.9548192 en_US
dc.identifier.isbn 978-1-6654-4389-0
dc.identifier.scopus 2-s2.0-85116668812 en_US
dc.identifier.scopusquality N/A
dc.identifier.uri https://doi.org/10.1109/UPEC50034.2021.9548192
dc.identifier.uri https://hdl.handle.net/20.500.12469/5240
dc.identifier.wos WOS:000723608400042 en_US
dc.identifier.wosquality N/A
dc.khas 20231019-WoS en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartof 2021 56th International Universities Power Engineering Conference (Upec 2021): Powering Net Zero Emissions en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 1
dc.subject multilevel inverters en_US
dc.subject selective harmonic elimination en_US
dc.subject harmonic distortion en_US
dc.subject optimization en_US
dc.subject Multi-verse Optimization en_US
dc.subject Novelty search en_US
dc.subject local search en_US
dc.title Optimization of Multilevel Inverters Using Novelty-driven Multi-verse Optimization Algorithm en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication
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relation.isOrgUnitOfPublication.latestForDiscovery ff62e329-217b-4857-88f0-1dae00646b8c

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