Application of Hybrid GWO-BSA Technique for Resolving Multi-Objective Optimal Power Flow Problem by Incorporating Unified Power Flow Controller

Application of Hybrid GWO-BSA Technique for Resolving Multi-Objective Optimal Power Flow Problem by Incorporating Unified Power Flow Controller | 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 Application of Hybrid GWO-BSA Technique for Resolving Multi-Objective Optimal Power Flow Problem by Incorporating Unified Power Flow Controller Lakshmi priya J, Jaya Christa S.T This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4430475/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 The optimal power flow (OPF) is an illustrious and a substantial approach for the reliable and cost-effective working of a power system. It is a multifaceted nonlinear problem that evaluates the ideal settings of generator capacity, bus voltage, and transformer tap setting. In this study, the objectives such as minimization of fuel cost, minimization of power losses, reduction of voltage variation and augmentation of voltage stability have been solved by considering six double objective scenarios and four triple objective scenarios. The above mentioned objectives have been solved by using hybridized Grey Wolf Optimization and Backtracking Search optimization Algorithm (GWO-BSA) and by incorporating Unified Power Flow Controller (UPFC). In the multi-objective OPF problem, the Optimum Compromise Solution (OCS) is estimated by means of fuzzy set theory. For demonstrating the enactment of the hybrid GWO-BSA, simulations are performed using MATLAB on standard IEEE 30-bus and 57-bus test systems. Moreover, the comparisons have been made between the hybrid GWO-BSA and other recognized algorithms for showing the greater efficacy and robustness of the GWO-BSA against others. The comparisons divulge that the GWO-BSA offers optimal, viable, global outcomes to the OPF problems with good convergence rate. Optimal power flow Hybrid GWO-BSA algorithm Multi-objective optimization UPFC 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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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-4430475","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":306641177,"identity":"75cd75de-706d-4ce7-9cd2-2336d362b821","order_by":0,"name":"Lakshmi priya J","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3UlEQVRIiWNgGAWjYBACxnYgkQBmMh8AEhIyhLU0w7WwgSgJHsLWMMNZPAZgkrCOZt5jHx622cnxs/d8fnWjxoKHgf3w0Q34HcaXPCOxLdlYsufsNuucY0CH8aSl3cCvhceYIbGNOXHDjdxtxjlsQC0SPGbEaKmv33//zTPjnH/EazmcYCDBw/w4t40oLXzJDAnnjhvOOJNmxpzbJ8HDRsgvhu29hxl/lFXL87cffvw551sdMOgOH8OvpQEYEYxsYDabBJjEpxwE5MFx9wfMZv5ASPUoGAWjYBSMTAAAAcRDJ4xl6c0AAAAASUVORK5CYII=","orcid":"","institution":"Mepco Schlenk Engineering College","correspondingAuthor":true,"prefix":"","firstName":"Lakshmi","middleName":"priya","lastName":"J","suffix":""},{"id":306641178,"identity":"49eca8ab-2f6d-4bf9-85e4-d6b5c53febcb","order_by":1,"name":"Jaya Christa S.T","email":"","orcid":"","institution":"Mepco Schlenk Engineering College","correspondingAuthor":false,"prefix":"","firstName":"Jaya","middleName":"Christa","lastName":"S.T","suffix":""}],"badges":[],"createdAt":"2024-05-16 10:36:13","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4430475/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4430475/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":62228112,"identity":"bedc3ef1-426a-4029-9d96-acae85fb8321","added_by":"auto","created_at":"2024-08-11 15:54:23","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":640117,"visible":true,"origin":"","legend":"","description":"","filename":"ManuscriptElectricalEngineering.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4430475/v1_covered_2e057ae8-26ae-4a7c-9295-41eb3a5f5597.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Application of Hybrid GWO-BSA Technique for Resolving Multi-Objective Optimal Power Flow Problem by Incorporating Unified Power Flow Controller","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Optimal power flow, Hybrid GWO-BSA algorithm, Multi-objective optimization, UPFC","lastPublishedDoi":"10.21203/rs.3.rs-4430475/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4430475/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe optimal power flow (OPF) is an illustrious and a substantial approach for the reliable and cost-effective working of a power system. 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