Optimal Planning and Decision-Making for Hybrid Microgrids: Integrating Diverse Renewable Sources with Battery Systems

Optimal Planning and Decision-Making for Hybrid Microgrids: Integrating Diverse Renewable Sources with Battery Systems | 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 Optimal Planning and Decision-Making for Hybrid Microgrids: Integrating Diverse Renewable Sources with Battery Systems Saleh Alyahya, Alaa A. Zaky, Bedir Yousif, Samir M. Dawoud This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5790784/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 Microgrids as modern power system facilities must be optimally designed to secure their efficient techno-economic feasibility. The uncertainty in renewable energy and electricity demand growth which can be managed by appropriate design and demand-side management methods. In this research work, a hybrid microgrid comprising 3 rd generation Perovskite Solar Cells / Wind Turbines / Micro turbines and battery system is modeled in Homer Pro software 3.14.2 to determine the optimal decisions for different demand-side management cases. Furthermore, the Perovskite Solar Cells devices were fabricated and experimentally examined and integrated to microgrid under investigation. This paper investigates the techno-economic modeling and optimization-based demand-side management of microgrids to maintain the load demand of a rural community on the coast of Aswan, Egypt. Various load demand scenarios involving baseloads without demand-side management, with loads shifting-based demand-side management, and with combined loads shifting and peak clipping-based demand-side management, are implemented, including their impacts on the microgrids' cost, reliability, and emissions are evaluated and compared. The design objective is to minimize the levelized cost of energy subject to various operational constraints based on Homer Pro software. The results have indicated a significant reduction in the Perovskite Solar Cells output power (89.0 kW) with Case-1(base load). While applying Case-2 (demand-side management based on loads shifting technique) the power reduced to 78.9 KW. Added to that the implementing of Case-3 (demand-side management based on loads shifting and loads clipping techniques) the power reduced to 77.6 KW. The results revealed that at Case-2 the demand side management was able to attain an attractive reduction of cost of energy by 14% in comparison with Case-1. Moreover, emissions at Case-3 decreased by 15% in comparison with Case-1. Finally, the proposed approach is to assist decision-makers to provide costs- effective and emissions-conscious planning for microgrids efficiently. Microgrids Demand side management Technoeconomic achievability solar rural community Full Text Additional Declarations No competing interests reported. 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. 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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-5790784","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":400354644,"identity":"f4a40cdc-879a-4839-bf74-fbd021244b85","order_by":0,"name":"Saleh Alyahya","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABDklEQVRIiWNgGAWjYFAC5gZmICnDwMADpCrAQgYEtDCCtfBAtJwhWQtjGxFa5NsPNj4uYLDjMTh+9pjEz3k28gzszdskGP7Y4dRicCax2XgGQzKPwZm8NMnebWmGDTzHyiQY25Jxa2FIbJPmYWDmMTiQYybBu+1wAoMEkAFxLQ6H9T9s/83DUM9jcP6NmeTfOUAt8m/MgA6rx+2ZG4ltzDwMh3kMbuSYSfM2gGzhAWphO4zbYTceNksD/c4jeeONsbXMsTTDNp60YovEtuN4HJZ88DNPRbUc3/kcw5tvamzk+dkPb7zx4U81bodBA4FB4QADiwSIzQYiEghogFjXwMD8gRiFo2AUjIJRMPIAAExgTBZop7PyAAAAAElFTkSuQmCC","orcid":"","institution":"Onaizah Colleges","correspondingAuthor":true,"prefix":"","firstName":"Saleh","middleName":"","lastName":"Alyahya","suffix":""},{"id":400354645,"identity":"29ffcc5f-1f0e-4990-b656-1b10e2c13ec4","order_by":1,"name":"Alaa A. 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The uncertainty in renewable energy and electricity demand growth which can be managed by appropriate design and demand-side management methods. In this research work, a hybrid microgrid comprising 3\u003csup\u003erd\u003c/sup\u003e generation Perovskite Solar Cells / Wind Turbines / Micro turbines and battery system is modeled in Homer Pro software 3.14.2 to determine the optimal decisions for different demand-side management cases. Furthermore, the Perovskite Solar Cells devices were fabricated and experimentally examined and integrated to microgrid under investigation. This paper investigates the techno-economic modeling and optimization-based demand-side management of microgrids to maintain the load demand of a rural community on the coast of Aswan, Egypt. Various load demand scenarios involving baseloads without demand-side management, with loads shifting-based demand-side management, and with combined loads shifting and peak clipping-based demand-side management, are implemented, including their impacts on the microgrids' cost, reliability, and emissions are evaluated and compared. The design objective is to minimize the levelized cost of energy subject to various operational constraints based on Homer Pro software. The results have indicated a significant reduction in the Perovskite Solar Cells output power (89.0 kW) with Case-1(base load). While applying Case-2 (demand-side management based on loads shifting technique) the power reduced to 78.9 KW. Added to that the implementing of Case-3 (demand-side management based on loads shifting and loads clipping techniques) the power reduced to 77.6 KW. The results revealed that at Case-2 the demand side management was able to attain an attractive reduction of cost of energy by 14% in comparison with Case-1. Moreover, emissions at Case-3 decreased by 15% in comparison with Case-1. 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