Analysis and Short-circuit Test Investigation on Mechanical Stability of Power Transformer Winding

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Abstract The deviation from checking the transformer's short-circuit capacity is challenging to control because of the difficulties in detecting critical stability through standard short-circuit tests or faults. To accurately evaluate the mechanical strength of power transformer winding, this paper proposes an obtaining radial buckling stress (ORBS) method for the inner windings based on the non-equivalent force characteristics of the winding disks at different height positions. Firstly, after designing a test transformer and calculating the critical buckling current based on traditional methods, 22 short-circuit tests are implemented by gradually increasing the short-circuit current. Additionally, various feature data representing excessive winding deformation are characterized, and the trans-former is disassembled, with the "step" deformation positions marked as the critical buckling points. Finally, the differences between different destabilization algorithms are analyzed by loading the maximum current into the simulation model and obtaining the critical buckling stress at the marked position. The results indicate that the critical conditions of mechanical stability of transformer winding can be investigated accurately through multiple destructive short-circuit tests in a limited tested model based on the ORBS method. Furthermore, the ORBS method can improve the design and verification of the ability to withstand the short circuit.
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Analysis and Short-circuit Test Investigation on Mechanical Stability of Power Transformer Winding | 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 Analysis and Short-circuit Test Investigation on Mechanical Stability of Power Transformer Winding Zongxi ZHANG, Yun FENG, Rui LIU, Qiang OU, Junwen REN This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4756034/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 3 You are reading this latest preprint version Abstract The deviation from checking the transformer's short-circuit capacity is challenging to control because of the difficulties in detecting critical stability through standard short-circuit tests or faults. To accurately evaluate the mechanical strength of power transformer winding, this paper proposes an obtaining radial buckling stress (ORBS) method for the inner windings based on the non-equivalent force characteristics of the winding disks at different height positions. Firstly, after designing a test transformer and calculating the critical buckling current based on traditional methods, 22 short-circuit tests are implemented by gradually increasing the short-circuit current. Additionally, various feature data representing excessive winding deformation are characterized, and the trans-former is disassembled, with the "step" deformation positions marked as the critical buckling points. Finally, the differences between different destabilization algorithms are analyzed by loading the maximum current into the simulation model and obtaining the critical buckling stress at the marked position. The results indicate that the critical conditions of mechanical stability of transformer winding can be investigated accurately through multiple destructive short-circuit tests in a limited tested model based on the ORBS method. Furthermore, the ORBS method can improve the design and verification of the ability to withstand the short circuit. Power transformer Short circuit Stability Test Simulation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editor assigned by journal 18 Jul, 2024 Submission checks completed at journal 18 Jul, 2024 First submitted to journal 17 Jul, 2024 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-4756034","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":333765295,"identity":"b6461ed3-e6ab-4085-ad89-ad9acfb133b8","order_by":0,"name":"Zongxi ZHANG","email":"","orcid":"","institution":"State Grid Sichuan Electric Power Research Institute","correspondingAuthor":false,"prefix":"","firstName":"Zongxi","middleName":"","lastName":"ZHANG","suffix":""},{"id":333765296,"identity":"c17ca622-648d-436b-8d5d-d3adaa50721f","order_by":1,"name":"Yun FENG","email":"","orcid":"","institution":"State Grid Sichuan Electric Power Research 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