Automated fault detection and stability assessment using a eleven-level multi-level inverter for a grid-interfaced photovoltaic system

Automated fault detection and stability assessment using a eleven-level multi-level inverter for a grid-interfaced photovoltaic system | 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 Automated fault detection and stability assessment using a eleven-level multi-level inverter for a grid-interfaced photovoltaic system Sachin Thakur, Akhil Gupta, Kamal Kant Sharma This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8242982/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 This paper provides a robust technique for controlling a Solar Photovoltaic (SPV) grid interfaced system using a Cascaded H-bridge Multi-level Inverter (CHBMLI) and Maximum Power Point Tracking (MPPT) control. Aim : The goal is validate the proposed method for optimizing the overall performance of a SPV grid interfaced system. This entails the mixing of advanced manipulation strategies, fault detection mechanisms, and balance enhancement techniques inside a CHBMLI framework, leveraging MPPT algorithms for efficient strength conversion. Background : Integrating SPV systems with the utility grid using green inverters is crucial for the distributed era. Multi-level Inverters (MLIs) in particular CHB topology, are identified for their capacity to provide low-distortion output voltages with minimum harmonics. This paper addresses these problems by proposing a strong control and fault detection method for SPV grid structures. Results : Simulation outcome indicates that the proposed method significantly complements the integration of the CHBMLI with MPPT algorithms and proportional integral derivative control. It ensures efficient strength conversion and regular energy drift in brief situations. The use of thyristor-controlled series capacitor further improves transient stability. The fault detection mechanism identifies symmetrical and unsymmetrical faults, ensuring well-timed responses. Overall, the machine demonstrates decreased Total Harmonic Distortion (THD) and advanced voltage profiles, confirming effectiveness of proposed technique. Solar photovoltaic fault multi-level inverter grid stability transient 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. 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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-8242982","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":570838420,"identity":"852d4ba1-ba3b-4cfa-9276-0eebb2dd95f0","order_by":0,"name":"Sachin Thakur","email":"","orcid":"","institution":"Chandigarh University","correspondingAuthor":false,"prefix":"","firstName":"Sachin","middleName":"","lastName":"Thakur","suffix":""},{"id":570838421,"identity":"e9969069-b770-461a-8e2c-fdf23992d797","order_by":1,"name":"Akhil Gupta","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABDUlEQVRIie2RsWrDMBRFJQrxIsiqLu0vqARMocb+kC4Shnhps2TNoNTgLib9kq6dXxB0suvVkCUiP+CxlLRUVqGZZK+F6ix6iHu4PB5CHs9fhBAEezvh9eHzK7IDjCq8f9FZzshk3ityVEE/SlBQMlH2c1CZlvUW+IdaJMG2oJQ08fOjMi2r6Nal0HrDQWzUkhCRXzO6S18qYZTX+b10OQ1hIEolSiTWLWe7NASjYKmcyuWvMtWSAn9Lw0YPK6wuGfB3o1DxcC4B4rAdabmqKtMisyVpdT7DMuVha1r4wC4X1d2s6443i+Ap0wcs4yRsMr3vVpF7/R5c2NNYhE1yR/LE8ZRJRsMej8fz7/gGFdhumWNamv8AAAAASUVORK5CYII=","orcid":"","institution":"I.K. 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system","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Solar photovoltaic, fault, multi-level inverter, grid, stability, transient","lastPublishedDoi":"10.21203/rs.3.rs-8242982/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8242982/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis paper provides a robust technique for controlling a Solar Photovoltaic (SPV) grid interfaced system using a Cascaded H-bridge Multi-level Inverter (CHBMLI) and Maximum Power Point Tracking (MPPT) control.\u003c/p\u003e \u003cp\u003e \u003cb\u003eAim\u003c/b\u003e: The goal is validate the proposed method for optimizing the overall performance of a SPV grid interfaced system. This entails the mixing of advanced manipulation strategies, fault detection mechanisms, and balance enhancement techniques inside a CHBMLI framework, leveraging MPPT algorithms for efficient strength conversion.\u003c/p\u003e \u003cp\u003e \u003cb\u003eBackground\u003c/b\u003e: Integrating SPV systems with the utility grid using green inverters is crucial for the distributed era. Multi-level Inverters (MLIs) in particular CHB topology, are identified for their capacity to provide low-distortion output voltages with minimum harmonics. This paper addresses these problems by proposing a strong control and fault detection method for SPV grid structures.\u003c/p\u003e \u003cp\u003e \u003cb\u003eResults\u003c/b\u003e: Simulation outcome indicates that the proposed method significantly complements the integration of the CHBMLI with MPPT algorithms and proportional integral derivative control. It ensures efficient strength conversion and regular energy drift in brief situations. The use of thyristor-controlled series capacitor further improves transient stability. The fault detection mechanism identifies symmetrical and unsymmetrical faults, ensuring well-timed responses. Overall, the machine demonstrates decreased Total Harmonic Distortion (THD) and advanced voltage profiles, confirming effectiveness of proposed technique.\u003c/p\u003e","manuscriptTitle":"Automated fault detection and stability assessment using a eleven-level multi-level inverter for a grid-interfaced photovoltaic system","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-01-08 16:06:44","doi":"10.21203/rs.3.rs-8242982/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"1336ea00-8fed-4972-86bc-41707b8cd8bb","owner":[],"postedDate":"January 8th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-03-11T15:12:15+00:00","versionOfRecord":[],"versionCreatedAt":"2026-01-08 16:06:44","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8242982","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8242982","identity":"rs-8242982","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}