Load Frequency Control in New Energy Power Systems Based on Iterative Learning

Load Frequency Control in New Energy Power Systems Based on Iterative Learning | 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 Article Load Frequency Control in New Energy Power Systems Based on Iterative Learning Xinxin Lv, Yuxin Yan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7884516/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 12 You are reading this latest preprint version Abstract To optimize the active power balance of the power system, this paper proposes a novel load frequency control (LFC) method based on iterative learning control scheme. Initially, a system model for LFC in the renewable power system is developed. Subsequently, a system model incorporating iterative learning control scheme for the new energy power system LFC is constructed. The iterative learning control design is then introduced, analyzing the control learning law based on the research objectives, designing the control module, and developing the closed-loop iterative learning model. Finally, simulation experiments are conducted to verify the effectiveness and applicability of the proposed method. Physical sciences/Energy science and technology Physical sciences/Engineering Physical sciences/Mathematics and computing Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 23 Nov, 2025 Reviews received at journal 18 Nov, 2025 Reviewers agreed at journal 30 Oct, 2025 Reviewers agreed at journal 30 Oct, 2025 Reviews received at journal 29 Oct, 2025 Reviewers agreed at journal 29 Oct, 2025 Reviewers agreed at journal 29 Oct, 2025 Reviewers agreed at journal 28 Oct, 2025 Reviewers invited by journal 27 Oct, 2025 Editor assigned by journal 24 Oct, 2025 Submission checks completed at journal 23 Oct, 2025 First submitted to journal 23 Oct, 2025 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. 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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-7884516","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":537357841,"identity":"e9c1a029-d979-4f1a-ab0f-a653b67324ff","order_by":0,"name":"Xinxin Lv","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA00lEQVRIiWNgGAWjYDACZiBOYLBgMJAAMj4Y2NgRq0UCrIVxRkFaMrF2QbQw83w4xNhASK3Bcd5jEg93SCRul+4x/GxjcICZgf3w0Q34tEg28yUbJJ6RSNw554yxdI7BHT4GnrS0G/i08DPzGD5IbJMwNriRY8acY/CMmUGCxwyvFjZmHoMDcC0WBocZGwhpgdkiB9bCQIwWyWYeYwOIlrRiyR6DtGQ2Qn4xOH/GTPJnmw2PwY3kjR9+/LGx42c/fAyvFiy+I035KBgFo2AUjAJsAAD3FEF8cxLu6QAAAABJRU5ErkJggg==","orcid":"","institution":"Zhejiang Sci-Tech University","correspondingAuthor":true,"prefix":"","firstName":"Xinxin","middleName":"","lastName":"Lv","suffix":""},{"id":537357842,"identity":"7f72e0cb-e793-4de9-a714-5bcf7d6b12e2","order_by":1,"name":"Yuxin Yan","email":"","orcid":"","institution":"Zhejiang Sci-Tech University","correspondingAuthor":false,"prefix":"","firstName":"Yuxin","middleName":"","lastName":"Yan","suffix":""}],"badges":[],"createdAt":"2025-10-17 08:38:40","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7884516/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7884516/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":95189359,"identity":"55a5491e-e45c-4beb-9d3e-0dd00a13477e","added_by":"auto","created_at":"2025-11-05 09:54:04","extension":"json","order_by":0,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":3513,"visible":true,"origin":"","legend":"","description":"","filename":"35cedb698b274ba096abd301156ed1f5.json","url":"https://assets-eu.researchsquare.com/files/rs-7884516/v1/3d084315042a3b661669a25c.json"},{"id":95228472,"identity":"dc8cc060-330c-4bf4-be31-b7ab0d4723d7","added_by":"auto","created_at":"2025-11-05 16:33:47","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":509967,"visible":true,"origin":"","legend":"","description":"","filename":"qpvkfkgjzkgyjvcpnvgddztfcffhdrbs.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7884516/v1_covered_6988da7f-0ecb-4355-a096-25eaad644ecf.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Load Frequency Control in New Energy Power Systems Based on Iterative Learning","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-7884516/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7884516/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"To optimize the active power balance of the power system, this paper proposes a novel load frequency control (LFC) method based on iterative learning control scheme. 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