Contingency Analysis and Mitigation Strategies for Enhanced Resilience in Islanded Microgrids

Contingency Analysis and Mitigation Strategies for Enhanced Resilience in Islanded Microgrids | 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 Contingency Analysis and Mitigation Strategies for Enhanced Resilience in Islanded Microgrids Ashiq Hussain Lone, Neeraj Gupta This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5430757/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 order to ensure the reliability and security of islanded microgrids, contingency analysis is an important aspect. In the present study, we investigate the N-1 and N-2 contingency criteria in is-landed microgrids using the modified decoupled Newton-Raphson power flow method. Islanded microgrids, which operate autonomously of the main grid, have specific difficulties in preserving stability and dependability, especially when handling component failures. The N-1 contingency criterion considers the impact of losing a single component, such as a generator or transmission line, while the N-2 contingency criterion accounts for the simultaneous loss of two components. The approach put out in this study takes apparent power overloading and voltage violations into account simultaneously. The proposed approach has been applied on three distinct systems to verify its effectiveness. The distributed energy resources, have been integrated through sophisticated monitoring and control systems, and optimized the microgrid configuration using dynamic reconfiguration techniques to reduce the impact of various contingencies on voltage stability, frequency regulation, and overall system dependability. The cuckoo optimisation algorithm has been employed to determine the optimal droop coefficients, ensuring uniform load sharing among the distributed generators. This study has identified critical gaps and provided recommendations for enhancing resilience. Microgrid Voltage Stability Distributed Generation Active power performance index reactive power performance Overall performance index 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-5430757","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":376626080,"identity":"749baea0-aeff-46c9-be8f-83d3010676eb","order_by":0,"name":"Ashiq Hussain Lone","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9ElEQVRIiWNgGAWjYFACHoYDDAVAmr/58IMPQJqNnSgtBkBa4lia4QyQFmYitDCAtTDkGEiD2AyEtPD3nz144I2BTR4/w7EEY5tf2+T5mBkYP3zMwa1F4kZewsE5BmnFks3NBx7n9t02bGNmYJacuQ2PNTd4DA4DUeKGA0BbcntuMwK1sDHz4tEif/4MRMv+A0C/WPbctieoxQCoEmILyPsMP24nEtRieCPHAOSXxBk3gIHc23A7uY2ZsRmvX+TOnzH+8KbCJrG/HxiVP/7ctp3f3nzww0d83gcBHhiDsQ1MNhBQj6yF4Q9hxaNgFIyCUTDyAABqA1b4AuSSaAAAAABJRU5ErkJggg==","orcid":"","institution":"National Institute of Technology Srinagar","correspondingAuthor":true,"prefix":"","firstName":"Ashiq","middleName":"Hussain","lastName":"Lone","suffix":""},{"id":376626084,"identity":"d6ba4570-8c4d-4167-afe2-d223608f3783","order_by":1,"name":"Neeraj Gupta","email":"","orcid":"","institution":"National Institute of Technology Srinagar","correspondingAuthor":false,"prefix":"","firstName":"Neeraj","middleName":"","lastName":"Gupta","suffix":""}],"badges":[],"createdAt":"2024-11-11 09:38:23","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5430757/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5430757/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":70794482,"identity":"6a100147-3976-45bd-8dd1-f3559b259419","added_by":"auto","created_at":"2024-12-06 20:23:35","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1008558,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscriptfile.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5430757/v1_covered_8ee6b104-ded3-41bf-9bbd-1674cc726fbd.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Contingency Analysis and Mitigation Strategies for Enhanced Resilience in Islanded Microgrids","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"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":"Microgrid, Voltage Stability, Distributed Generation, Active power performance index, reactive power performance, Overall performance index","lastPublishedDoi":"10.21203/rs.3.rs-5430757/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5430757/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"In order to ensure the reliability and security of islanded microgrids, contingency analysis is an important aspect. 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