Enhancing the Performance of Hybrid Microgrids through Turbulent Flow-Based Optimization

Enhancing the Performance of Hybrid Microgrids through Turbulent Flow-Based Optimization | 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 Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed.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. 31 January 2025 V1 Latest version Share on Enhancing the Performance of Hybrid Microgrids through Turbulent Flow-Based Optimization Authors : Doha El Hafiane 0009-0004-9578-5580 [email protected] , Abdelmounime El Magri , and Rachid Lajouad Authors Info & Affiliations https://doi.org/10.22541/au.173832305.51916775/v1 209 views 118 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract This paper presents the Enhanced Turbulent Flow of Water-Based Optimization (ETFWO), a novel algorithm designed to enhance energy management in hybrid microgrids. With the increasing global demand for energy and the pressing need to reduce greenhouse gas emissions, hybrid microgrids that integrate renewable energy sources such as solar photovoltaic (PV) and wind power with conventional generators are becoming increasingly vital. The ETFWO algorithm utilizes the chaotic dynamics of turbulent flow to optimize real-time energy production, storage, and consumption, effectively addressing the challenges posed by the intermittent nature of renewable energy sources. Supplementary Material File (turbulent_flow_of_water_based_optimization (5).pdf) Download 507.33 KB Information & Authors Information Version history V1 Version 1 31 January 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords energy management enhanced turbulent flow of water-based optimization (etfwo) hybrid microgrids optimization algorithms renewable energy turbulent flow optimization (tfo) Authors Affiliations Doha El Hafiane 0009-0004-9578-5580 [email protected] Universite Hassan II Casablanca Ecole Nationale Superieure de l'Enseignement Technique View all articles by this author Abdelmounime El Magri Universite Hassan II Casablanca Ecole Nationale Superieure de l'Enseignement Technique View all articles by this author Rachid Lajouad Universite Hassan II Casablanca Ecole Nationale Superieure de l'Enseignement Technique View all articles by this author Metrics & Citations Metrics Article Usage 209 views 118 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Doha El Hafiane, Abdelmounime El Magri, Rachid Lajouad. Enhancing the Performance of Hybrid Microgrids through Turbulent Flow-Based Optimization. Authorea . 31 January 2025. 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