Automatic Generation of a Fault Database in Electrical Power Distribution Networks Using ATPDraw/ATP

Automatic Generation of a Fault Database in Electrical Power Distribution Networks Using ATPDraw/ATP | 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 Automatic Generation of a Fault Database in Electrical Power Distribution Networks Using ATPDraw/ATP Francisco C. M. Abreu, Vinícius P. Machado, Aryfrance R. Aumeida, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4661055/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 Fault location in electric power distribution networks is essential to improve the continuity and quality of the power supply. Among the fault location methods, those based on artificial intelligence are less sensitive to noise in the input data and considerably more accurate compared to other methods. However, these methods require a substantial amount of training data. Thus, this study proposes a method to automatically generate a fault database for faults in electric power distribution networks using ATPDraw/ATP software and the Python programming language. The IEEE34 bus system was used to validate the proposed method, resulting in a fault database, made available to the scientific community, with 6700 files containing different types of faults, incidence angles, and fault resistances. Fault database fault location power distribution networks 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-4661055","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":332400011,"identity":"4769b7d3-bcc1-4bf5-bf11-05ef6a2dc81d","order_by":0,"name":"Francisco C. M. 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