Hierarchical Cognitive Digital Twin Framework for Coordinated V2X in Networked Building Microgrids

Hierarchical Cognitive Digital Twin Framework for Coordinated V2X in Networked Building Microgrids | 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 Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed.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. 5 March 2026 V1 Latest version Share on Hierarchical Cognitive Digital Twin Framework for Coordinated V2X in Networked Building Microgrids Author : Mohammed Mousa 0000-0001-8663-1329 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.177267257.74897159/v1 124 views 73 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Coordinating Vehicle to Everything (V2X) services across multiple building microgrids remains challenging due to scalability limitations, lack of convergence guarantees, and inadequate battery degradation consideration. This paper develops a hierarchical Cognitive Digital Twin (CDT) framework for coordinated V2X services across networked building microgrids. The framework comprises local building digital twins managing individual operations and a central coordinator orchestrating peer to peer (P2P) energy trading through a distributed consensus algorithm. A Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm with physics informed battery degradation constraints is developed, with theoretical analysis establishing convergence to an ϵ-local Nash equilibrium under standard assumptions. Simulations on a modified IEEE 33-bus system with 3–20 building microgrids, validated using real world datasets (UK-DALE, ACN-Data, Pecan Street), demonstrate 47.7% ± 3.2% reduction in daily operating costs compared to state of the art methods. Statistical analysis over 10 independent runs (p < 0.001) validates the effectiveness of the proposed approach. Supplementary Material File (hierarchical_cognitive_digital_twins_for_coordinated_v2x_energy_management_in_networked_building_microgrids.pdf) Download 1.07 MB File (main.tex) Download 64.04 KB Information & Authors Information Version history V1 Version 1 05 March 2026 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords battery management systems energy management systems micro grids multi-agent systems vehicle-to-grid Authors Affiliations Mohammed Mousa 0000-0001-8663-1329 [email protected] Yanbu Industrial College View all articles by this author Metrics & Citations Metrics Article Usage 124 views 73 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Mohammed Mousa. Hierarchical Cognitive Digital Twin Framework for Coordinated V2X in Networked Building Microgrids. Authorea . 05 March 2026. DOI: https://doi.org/10.22541/au.177267257.74897159/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 . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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