Frequency Regulation Bottleneck Scenarios Identification in Large-scale Wind Integrated Power Systems: A Provincial-level Empirical Study in China

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In this paper, large-scale wind power is factored into a frequency regulation model of power system. On this basis, the frequency control of the power system containing this model is investigated under potential bottleneck scenarios. Firstly, the dynamic frequency model of the power system that can reflect the impact of wind power fluctuations on grid frequency is established. Secondly, the research idea for identifying frequency regulation bottleneck scenarios in power systems is proposed, in which the frequency regulation bottleneck scenarios of power systems containing large-scale wind power are explored from the perspectives of wind power penetration rate, wind speed range, and wind speed ramping. Then, two critical bottleneck scenarios are identified: low wind speed with high wind power penetration scenario and wind power ramping in high penetration wind power systems scenario. A 3-node system is used for testing and simulation. Finally, a provincial-level empirical study in China is used to confirm its effectiveness and accuracy in addressing frequency regulation bottlenecks in the presence of large-scale wind power. It provides reference for solving the frequency control problem in large-scale wind power centralized grid connection and improving the penetration of renewable energy, as well as a scenario basis for researching and eliminating bottlenecks.
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Frequency Regulation Bottleneck Scenarios Identification in Large-scale Wind Integrated Power Systems: A Provincial-level Empirical Study in China | 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 Frequency Regulation Bottleneck Scenarios Identification in Large-scale Wind Integrated Power Systems: A Provincial-level Empirical Study in China Xiaoyu Zhou, Mengke Lu, Chengxiang Ling, Jiahao Zhou, Tianyu Li, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3403654/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 this paper, large-scale wind power is factored into a frequency regulation model of power system. On this basis, the frequency control of the power system containing this model is investigated under potential bottleneck scenarios. Firstly, the dynamic frequency model of the power system that can reflect the impact of wind power fluctuations on grid frequency is established. Secondly, the research idea for identifying frequency regulation bottleneck scenarios in power systems is proposed, in which the frequency regulation bottleneck scenarios of power systems containing large-scale wind power are explored from the perspectives of wind power penetration rate, wind speed range, and wind speed ramping. Then, two critical bottleneck scenarios are identified: low wind speed with high wind power penetration scenario and wind power ramping in high penetration wind power systems scenario. A 3-node system is used for testing and simulation. Finally, a provincial-level empirical study in China is used to confirm its effectiveness and accuracy in addressing frequency regulation bottlenecks in the presence of large-scale wind power. It provides reference for solving the frequency control problem in large-scale wind power centralized grid connection and improving the penetration of renewable energy, as well as a scenario basis for researching and eliminating bottlenecks. Wind power power system frequency regulation bottleneck scenarios identification 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. 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-3403654","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":239543563,"identity":"5cb122f6-f31d-4fd5-a879-8ca880f10a84","order_by":0,"name":"Xiaoyu Zhou","email":"","orcid":"","institution":"China Energy Engineering Group Zhejiang Electric Power Design Institute Co., Ltd","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Xiaoyu","middleName":"","lastName":"Zhou","suffix":""},{"id":239543564,"identity":"c62035e3-bc58-4b93-a86a-34cd3fd96f61","order_by":1,"name":"Mengke 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