Hybrid Energy Storage Configuration of Wind Power Microgrid: A Strategy based on the EMD technique and Two-stage Robust Method

Hybrid Energy Storage Configuration of Wind Power Microgrid: A Strategy based on the EMD technique and Two-stage Robust Method | 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 Hybrid Energy Storage Configuration of Wind Power Microgrid: A Strategy based on the EMD technique and Two-stage Robust Method Xiuyu Yang, Xiaoyyu YE, Zhongzheng Li, Xiaobin Wang, Xinfu Song, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3823413/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 01 Feb, 2024 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract Data centers are usually characterized by high energy loads, which raises increasing sustainability concerns in both academic and daily usage. To mitigate the uncertainty and high volatility of distributed wind energy generation, this paper proposes a hybrid energy storage allocation strategy by means of the Empirical Mode Decomposition (EMD) technique and the two-stage robust method. First, this paper conducts the evolution analyses for the over- and under-evaluated uncertainty of wind power fluctuation under different time scales. Second, we employ the EMD technique to configure a high-frequency flywheel energy storage device, realizing the wind power transformation from large fluctuations to small fluctuations and the convergence of the wind power fluctuation curves in minute- and hour levels. Finally, based on the hour-level wind energy stable power curves, we carry out two-stage robust planning for the equipment capacity of low-frequency cold storage tanks and lithium bromide chillers. The case study on a data center microgrid in northeastern China confirms the effectiveness of our proposed strategy. Physical sciences/Engineering/Electrical and electronic engineering Physical sciences/Engineering/Energy infrastructure Multiple time scales wind power uncertainty EMD two-stage robust planning hybrid energy storage configuratio Full Text Additional Declarations No competing interests reported. Supplementary Files SupplementaryMaterial.docx Cite Share Download PDF Status: Published Journal Publication published 01 Feb, 2024 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 11 Jan, 2024 Reviews received at journal 10 Jan, 2024 Reviewers agreed at journal 09 Jan, 2024 Reviews received at journal 05 Jan, 2024 Reviewers agreed at journal 05 Jan, 2024 Reviewers invited by journal 05 Jan, 2024 Editor assigned by journal 02 Jan, 2024 Editor invited by journal 02 Jan, 2024 Submission checks completed at journal 01 Jan, 2024 First submitted to journal 30 Dec, 2023 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-3823413","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":264896718,"identity":"b0708ee8-1d38-4e70-a087-f951a577d465","order_by":0,"name":"Xiuyu Yang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA8klEQVRIiWNgGAWjYNACAyBmb2w4kFAhISdPvBaewwcPPDhjYWzYQLRNEmnJBx+2VSQyHCBk/vGzh1/zFBxO3HAgx+BA4jyJBMYG5oePbuDTciYvzXKGAUjLGaCWbRJ57AxsxsY5+LQcyDEz+ADScrAHrKWYsYGHTRqvlvNvzAwSQFoO8wC1zJFIbDhASMuNHOMHYFuOsSUcSGwgQovkjTdmjDMM0o1nnmE+cCDhmISxYTMBv/CdzzH+zPPHWrbv/sPmjz9q6uTk2ZsfPsanReEAA5sEkHZsgAsx41EOAvINDMwfgLQ9AXWjYBSMglEwkgEAbw5alTkoKuwAAAAASUVORK5CYII=","orcid":"","institution":"Northeast Electric Power University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Xiuyu","middleName":"","lastName":"Yang","suffix":""},{"id":264896719,"identity":"98a561da-2b73-4e1f-aa07-9e2cb62b200f","order_by":1,"name":"Xiaoyyu YE","email":"","orcid":"","institution":"Northeast Electric Power University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Xiaoyyu","middleName":"","lastName":"YE","suffix":""},{"id":264896720,"identity":"1d0b4b7f-a99f-46d4-83b5-51eab999d558","order_by":2,"name":"Zhongzheng Li","email":"","orcid":"","institution":"State Grid Xinjiang Electric Power Co., Ltd. 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