Advanced Optimization Framework for Integrating Electric Vehicles with Microgrid Operations Using Distributed Renewable Energy Resources

Advanced Optimization Framework for Integrating Electric Vehicles with Microgrid Operations Using Distributed Renewable Energy Resources | 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 Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed.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. 6 February 2025 V1 Latest version Share on Advanced Optimization Framework for Integrating Electric Vehicles with Microgrid Operations Using Distributed Renewable Energy Resources Authors : Sathiyanarayanan M [email protected] , Chidambaram , Saravanan K , and SJaisiva 0000-0002-5423-6911 Authors Info & Affiliations https://doi.org/10.22541/au.173884580.02879632/v1 160 views 89 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract This research work presents an advanced optimization framework for integrating Electric Vehicles (EVs) with microgrid (MG) operations, utilizing Combined Heat and Power (CHP) technologies, renewable energy sources (RES), and Battery Energy Storage Systems (BESS). Despite the benefits of CHP technologies in providing both electricity and heat, their potential in EV Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) operations remains largely unexplored. To bridge this gap, this paper proposes a hybrid electric-thermal load strategy for CHP systems that autonomously toggles between electric and thermal load-following modes, thereby maximizing environmental and economic advantages. The optimization process is augmented by the Zebra Optimization Algorithm (ZOA), which draws inspiration from zebra social behavior to effectively balance exploration and exploitation within the complex, stochastic MG environment. To further enhance solution quality and address uncertainties in RES generation, EV charging/discharging patterns, and load consumption, the Differential Evolution (DE) algorithm is introduced. The framework is validated through three case studies: the first focused solely on CHP technologies, the second on a combination of CHP and RES, and the third integrating BESS to facilitate V2G operations. The proposed hybrid ZOA-DE approach achieves a notable reduction in operational costs, decreasing by up to 25%, and CO 2 emissions, which are reduced by approximately 30%. This comprehensive approach provides a sustainable energy management solution for EVs within MGs. Supplementary Material File (research article.docx) Download 885.20 KB Information & Authors Information Version history V1 Version 1 06 February 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords and optimization battery energy storage systems (bess) electric vehicles (evs) microgrid (mg) renewable energy sources (res) Authors Affiliations Sathiyanarayanan M [email protected] Christ Institute of Technology View all articles by this author Chidambaram Annamalai University View all articles by this author Saravanan K Dr MGR Educational and Research Institute View all articles by this author SJaisiva 0000-0002-5423-6911 Sri Krishna College of Technology View all articles by this author Metrics & Citations Metrics Article Usage 160 views 89 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Sathiyanarayanan M, Chidambaram, Saravanan K, et al. Advanced Optimization Framework for Integrating Electric Vehicles with Microgrid Operations Using Distributed Renewable Energy Resources. Authorea . 06 February 2025. 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