Enhanced Total Harmonic Distortion Optimization in Cascaded H-Bridge Multilevel Inverters Using the Dwarf Mongoose Optimization Algorithm

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dc.contributor.authorSalih, Sinan Q.
dc.contributor.authorMejbel, Basim Ghalib
dc.contributor.authorAhmad, B.A.
dc.contributor.authorTaha, Taha A.
dc.contributor.authorBektaş, Yasin
dc.contributor.authorAldabbagh, Mohammed M.
dc.contributor.authorHussain, Abadal-Salam T.
dc.contributor.authorHashim, Abdulghafor Mohammed
dc.contributor.authorVeena, B.S.
dc.date.accessioned2025-04-11T06:39:42Z
dc.date.available2025-04-11T06:39:42Z
dc.date.issued2024
dc.departmentTeknik Bilimler Meslek Yüksekokulu
dc.description.abstractTotal harmonic distortion (THD) is one of the most essential parameters that define the operational efficiency and power quality in electrical systems applied to solutions like cascaded H-bridge multilevel inverters (CHB-MLI). The reduction of THD is crucial due to the fact that improving the system’s power quality and minimizing the losses are key for performance improvement. The purpose of this work is to introduce a new DMO-based approach to optimize the THD of the output voltage in a three-phase nine-level CHB-MLI. The proposed DMO algorithm was also subjected to intense comparison with two benchmark optimization techniques, namely Genetic Algorithm and Particle Swarm Optimization with regards to three parameters, namely convergence rate, stability, and optimization accuracy. A series of MATLAB simulations were run to afford the evaluation of each algorithm under a modulation index of between 0.1 and 1.0. The outcome of the experiment amply proves that in comparison with THD minimization for the given OP, the DMO algorithm was significantly superior to both RSA-based GA and PSO algorithms in their ability to yield higher accuracy while requiring lesser computational time. Consequently, this work could expand the application of the DMO algorithm as a reliable and effective means of enhancing THD in CHB-MLIs as well as advancing the overall quality of power systems in different electrical power networks.
dc.identifier.doi10.18196/jrc.v5i6.23548
dc.identifier.endpage1871
dc.identifier.issn27155056
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85207633853
dc.identifier.scopusqualityQ2
dc.identifier.startpage1862
dc.identifier.urihttps://dx.doi.org/10.18196/jrc.v5i6.23548
dc.identifier.urihttps://hdl.handle.net/20.500.12451/13004
dc.identifier.volume5
dc.indekslendigikaynakScopus
dc.institutionauthorBektaş, Yasin
dc.language.isoen
dc.publisherDepartment of Agribusiness, Universitas Muhammadiyah Yogyakarta
dc.relation.ispartofJournal of Robotics and Control (JRC)
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCascaded H-Bridge Multilevel Inverter (CHB-MLI)
dc.subjectDwarf Mongoose Optimization (DMO) Algorithm
dc.subjectMeta-Heuristic Algorithms
dc.subjectTotal Harmonic Distortion (THD) Optimization
dc.titleEnhanced Total Harmonic Distortion Optimization in Cascaded H-Bridge Multilevel Inverters Using the Dwarf Mongoose Optimization Algorithm
dc.typeArticle

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