A Systematic Review on the Current Research of Digital Twin in Power Equipment

A Systematic Review on the Current Research of Digital Twin in Power Equipment | 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 Systematic Review on the Current Research of Digital Twin in Power Equipment Dexian Wang, Qilong Liu, Yang Jinghui, Xingye Xu, Xuanyu Chen, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6976156/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 Under the dual imperatives of carbon peak and neutrality, the transition to renewable energy-dominant power systems necessitates enhanced grid stability, positioning digital twin (DT) technology as a critical enabler. This study makes three key contributions: (1) a systematic review of power equipment digitization, identifying critical research gaps; (2) development of a novel DT architecture with dynamic data fusion and hybrid modeling capabilities; and (3) proposal of an evolutionary DT framework with adaptive learning mechanisms. We address core challenges in cyber-physical synchronization and AI-driven anomaly detection, while identifying persistent issues in cross-scale simulation and data interoperability. The findings provide both theoretical foundations and practical guidelines for implementing DT in sustainable power systems, advancing intelligent grid management for the decarbonization era. Carbon peaked Carbon neutral New power systems Power equipment Digital twin Full Text 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-6976156","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":481259572,"identity":"bb5ef04a-cd1f-412f-ae57-63a52e6eee1e","order_by":0,"name":"Dexian Wang","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Dexian","middleName":"","lastName":"Wang","suffix":""},{"id":481259573,"identity":"1998dfd6-3282-414f-8e9f-f0bb530f858b","order_by":1,"name":"Qilong 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