Comprehensive Vulnerability Assessment of Power System Nodes with Wind Power Based on Dagum-Gini Coefficient Approach

Comprehensive Vulnerability Assessment of Power System Nodes with Wind Power Based on Dagum-Gini Coefficient Approach | 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 Comprehensive Vulnerability Assessment of Power System Nodes with Wind Power Based on Dagum-Gini Coefficient Approach Mingzhu Yan, Jiahui Wu, Huan Jiang, Yang Kou, Wei Zhao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3996931/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 04 Apr, 2025 Read the published version in Scientific Reports → Version 1 posted 12 You are reading this latest preprint version Abstract The increasing scale of wind power access to the grid makes it important to identify weak links in the system to prevent major outages. In order to analyze the vulnerability of grid nodes, this paper proposes a dynamic comprehensive evaluation method considering system uniformity, and establishes a comprehensive assessment model of node vulnerability based on wind power grid-connectedness, based on which the vulnerability of wind power-containing power systems is studied. Firstly, the improved weighted power entropy index is selected for the phenomena of system current instability and line overloading, and the comprehensive index set of node vulnerability is constructed by considering the structural and state characteristics, and the subjective and objective weights are calculated by using the hierarchical analysis method and the CRITIC method. Subsequently, the Dagum-Gini coefficient method is utilized to reflect the homogeneity of the system, and a comprehensive evaluation method based on the VIKOR method is used to confirm the ordering of critical nodes that have the greatest impact on the system and have a high failure rate. Finally, the proposed method is applied to the study of node vulnerability of wind-containing power systems. The feasibility of the above methodology is verified by a modified IEEE-118 test system with test simulations. Physical sciences/Energy science and technology/Renewable energy/Wind energy Physical sciences/Engineering Complex network theory0 PAJEK Integrated vulnerability of nodes Dagum-Gini coefficient method VIKOR method Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 04 Apr, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 09 Sep, 2024 Reviews received at journal 22 Jul, 2024 Reviews received at journal 17 Jul, 2024 Reviewers agreed at journal 06 Jul, 2024 Reviewers agreed at journal 04 Jul, 2024 Reviews received at journal 09 Jun, 2024 Reviewers agreed at journal 21 May, 2024 Reviewers invited by journal 02 May, 2024 Editor assigned by journal 30 Apr, 2024 Editor invited by journal 08 Mar, 2024 Submission checks completed at journal 08 Mar, 2024 First submitted to journal 28 Feb, 2024 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-3996931","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":278319080,"identity":"62201e68-4eea-46b9-bbab-d0d8e93f549d","order_by":0,"name":"Mingzhu Yan","email":"","orcid":"","institution":"Xinjiang University","correspondingAuthor":false,"prefix":"","firstName":"Mingzhu","middleName":"","lastName":"Yan","suffix":""},{"id":278319081,"identity":"dbe82bef-d0b8-4f7e-8463-5b7222e9b703","order_by":1,"name":"Jiahui Wu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAz0lEQVRIiWNgGAWjYFCCM4wPPlTYMDA2ANk8RGphNpxxJo0kLTxs0rxth6FsYjQYHDx7QIK37Xxi84wExgdv2xjkzQlqOXAuwUDi3G1jxhkJzIZz2xgMdzYQ0GJ24IxBgkHZbTmgFpALGRIMDhCh5UAC2zkeoBb238RqMWw40HYAbAszUVrsD5wxZmw4k2zM2POwWXLOOQnDDYS0SM44Y/77T4Vd4sb25IMf3pTZyBO0hUECqsKwARyZEoTUAwF/A4SWJ0LtKBgFo2AUjFAAAPPCRhK4E8tQAAAAAElFTkSuQmCC","orcid":"","institution":"Xinjiang University","correspondingAuthor":true,"prefix":"","firstName":"Jiahui","middleName":"","lastName":"Wu","suffix":""},{"id":278319082,"identity":"643645b0-bebe-476e-8fb5-e95b5dae84fc","order_by":2,"name":"Huan Jiang","email":"","orcid":"","institution":"Xinjiang Electric Power Co., Ltd","correspondingAuthor":false,"prefix":"","firstName":"Huan","middleName":"","lastName":"Jiang","suffix":""},{"id":278319083,"identity":"2a196831-75b8-4d53-824f-1e2fb2422191","order_by":3,"name":"Yang Kou","email":"","orcid":"","institution":"Xinjiang Electric Power Co., Ltd","correspondingAuthor":false,"prefix":"","firstName":"Yang","middleName":"","lastName":"Kou","suffix":""},{"id":278319084,"identity":"8f409aeb-75b9-4519-96fb-337dc3400386","order_by":4,"name":"Wei Zhao","email":"","orcid":"","institution":"Xinjiang University","correspondingAuthor":false,"prefix":"","firstName":"Wei","middleName":"","lastName":"Zhao","suffix":""}],"badges":[],"createdAt":"2024-02-28 14:35:48","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3996931/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3996931/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-025-88046-9","type":"published","date":"2025-04-04T15:57:56+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":80082088,"identity":"f45438a5-569d-4ad8-8717-a8ae4b94901b","added_by":"auto","created_at":"2025-04-07 16:06:56","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":4001660,"visible":true,"origin":"","legend":"","description":"","filename":"ComprehensiveVulnerabilityAssessmentofPowerSystemNodeswithWindPowerBasedonDagumGiniCoefficientApproach.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3996931/v1_covered_4c257b67-f8e4-4b86-aee3-6eb7bf06b975.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Comprehensive Vulnerability Assessment of Power System Nodes with Wind Power Based on Dagum-Gini Coefficient Approach","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":"Complex network theory0, PAJEK, Integrated vulnerability of nodes, Dagum-Gini coefficient method, VIKOR method","lastPublishedDoi":"10.21203/rs.3.rs-3996931/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3996931/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe increasing scale of wind power access to the grid makes it important to identify weak links in the system to prevent major outages. In order to analyze the vulnerability of grid nodes, this paper proposes a dynamic comprehensive evaluation method considering system uniformity, and establishes a comprehensive assessment model of node vulnerability based on wind power grid-connectedness, based on which the vulnerability of wind power-containing power systems is studied. Firstly, the improved weighted power entropy index is selected for the phenomena of system current instability and line overloading, and the comprehensive index set of node vulnerability is constructed by considering the structural and state characteristics, and the subjective and objective weights are calculated by using the hierarchical analysis method and the CRITIC method. 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