Fuzzy-based Fractional Control Structure for Enhanced Load Frequency Control

Fuzzy-based Fractional Control Structure for Enhanced Load Frequency Control | 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 Fuzzy-based Fractional Control Structure for Enhanced Load Frequency Control Akhilesh kumar Mishra This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8280784/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 In the presented article, a fuzzy-based fractional order control structure has been employed to enhance the system performance of a multi-area interconnected power system, which has inherent nonlinearity in its turbine system, specifically the generation rate constraint. As we know, fuzzy has established its supremacy in handling system parametric variations over conventional controllers. In this article, we also incorporated fractionality in association with fuzzy logic to tackle the disturbance rejection more effectively. The Fuzzybased FO controller performance has been compared with the conventional PID controller and found to improve its performance index by 51.7% over the PID controller. Furthermore, the efficacy of the proposed controller has been tested for a random step load perturbation and found to be superior to that of the existing control structure. Renewable Resources Nonlinear turbine characteristics Fuzzy logic controller fractional order controller load frequency controller Salp swarm algorithm Full Text Additional Declarations The authors declare no competing interests. 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-8280784","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":555347479,"identity":"3219529b-230c-43da-9cd5-2872ab947d40","order_by":0,"name":"Akhilesh kumar Mishra","email":"data:image/png;base64,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","orcid":"","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Akhilesh","middleName":"kumar","lastName":"Mishra","suffix":""}],"badges":[],"createdAt":"2025-12-04 15:11:32","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-8280784/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8280784/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":97670484,"identity":"a3ef567c-a09b-4f79-8bdf-d503cd8cfe4a","added_by":"auto","created_at":"2025-12-08 09:30:47","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":611539,"visible":true,"origin":"","legend":"","description":"","filename":"PID258.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8280784/v1_covered_6b9b8dc4-4e79-450d-bef5-1f50273880f8.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eFuzzy-based Fractional Control Structure for Enhanced Load Frequency Control\u003c/strong\u003e\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"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":"Nonlinear turbine characteristics, Fuzzy logic controller, fractional order controller, load frequency controller, Salp swarm algorithm","lastPublishedDoi":"10.21203/rs.3.rs-8280784/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8280784/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn the presented article, a fuzzy-based fractional order control structure has been employed to enhance the system performance of a multi-area interconnected power system, which has inherent nonlinearity in its turbine system, specifically the generation rate constraint. 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