Securing the Future Smart Grid 3.0 through Leveraging the Models of Blockchain, Digital Twin, Edge Computing and Metaverse Synergies

Securing the Future Smart Grid 3.0 through Leveraging the Models of Blockchain, Digital Twin, Edge Computing and Metaverse Synergies | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 1 July 2025 V1 Latest version Share on Securing the Future Smart Grid 3.0 through Leveraging the Models of Blockchain, Digital Twin, Edge Computing and Metaverse Synergies Authors : Anwar Shah 0000-0001-5859-1219 [email protected] , Adil Ahmad , Muhammad Adnan , Waleed Alnumay , Muhammad Tariq , and Chau Yuen Authors Info & Affiliations https://doi.org/10.22541/au.175138833.33586068/v1 269 views 144 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract The convergence of Edge Computing, Blockchain, Digital Twin (DT), and Metaverse technologies is transforming smart grids (SGs), paving the way for Smart Grid 3.0. Edge Computing plays a pivotal role in decentralizing data processing, reducing latency, and enabling real-time decision-making, addressing critical challenges in modern energy networks. By employing these technologies, complex interactions between end users, utility providers, and distributed edge devices can be efficiently managed, fostering a more secure, scalable, and intelligent smart grid ecosystem. Despite the growing interest from academia and industry in this convergence, seamless integration and dynamic adaptation remain key research challenges. Smart Grid 3.0 requires robust frameworks capable of continuously assessing technological advancements and adjusting network operations in real-time. While existing mathematical models attempt to address these challenges, their diversity and complexity make it difficult to determine optimal solutions for specific use cases. To bridge this gap, this paper proposes an innovative edge-driven convergence framework that systematically integrates Edge Computing with Blockchain, DT, and Metaverse technologies. This framework enhances real-time data processing, improves security, and optimizes grid efficiency, driving a transformative shift from traditional centralized architectures to decentralized, intelligent Smart Grid 3.0 networks. Supplementary Material File (manuscript (4).pdf) Download 5.87 MB Information & Authors Information Version history V1 Version 1 01 July 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords blockchain digital twin edge computing metaverse secure smart grid smart grid 3.0 Authors Affiliations Anwar Shah 0000-0001-5859-1219 [email protected] National University of Computer and Emerging Sciences Department of Computer Engineering, Gachon University View all articles by this author Adil Ahmad National University of Computer and Emerging Sciences View all articles by this author Muhammad Adnan National University of Computer and Emerging Sciences Department of Computer Engineering, Gachon University View all articles by this author Waleed Alnumay Department of Computer Science, Riyadh Community College, King Saud University View all articles by this author Muhammad Tariq Department of Electrical and Computer Engineering, Princeton University View all articles by this author Chau Yuen School of Electrical and Electronics Engineering, Nanyang Technological University View all articles by this author Metrics & Citations Metrics Article Usage 269 views 144 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Anwar Shah, Adil Ahmad, Muhammad Adnan, et al. Securing the Future Smart Grid 3.0 through Leveraging the Models of Blockchain, Digital Twin, Edge Computing and Metaverse Synergies. Authorea . 01 July 2025. DOI: https://doi.org/10.22541/au.175138833.33586068/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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