A Novel Multilevel Inverter Suppressing Harmonics Using GA-SHE Algorithm

A Novel Multilevel Inverter Suppressing Harmonics Using GA-SHE Algorithm | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A Novel Multilevel Inverter Suppressing Harmonics Using GA-SHE Algorithm Amrita Singh, Atul Raj Singh, Pranav Kumar, Vikash Kumar, Anita Kumari This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6136233/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The capability of the Multilevel Inverters in producing superior quality power output in terms of reduced switching frequency and switching loss, reduced total harmonic distortions etc. in comparison to the conventional two-level structure, motivates the researchers to further experiment for newer and improved topologies of MLIs for medium and high-power applications. Development of a novel MLI topology using less switch count producing high-quality output has been a focus of current research. This paper presents design and analysis of a novel Reduced Switch Single Source (RSSS) MLI topology, which is capable of producing high quality output. For a nine-level structure of this RSSS MLI topology, Genetic Algorithm was used to determine the optimized switching angles for solving the nonlinear equations of SHE, resulting in elimination of lower order harmonics (fifth and seventh). Experiments were performed in MATLAB/Simulink platform to demonstrate the effectiveness of the proposed topology. The results thus obtained with simulation were further validated by conducting real-time experiment for the proposed nine level RSSS MLI topology using Dspace (CP1104), under different loading conditions i.e., without load, with resistive load only and with resistive-inductive load. Genetic algorithm multilevel inverter reduce switch count selective harmonic elimination total harmonic distortion Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6136233","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":423308743,"identity":"59bfef20-6349-4600-b84f-5b8bdca40b22","order_by":0,"name":"Amrita 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