Stability Assessment using Adaptive Interval Type-2 Fuzzy Sliding Mode Controlled Power System Stabilizer

Stability Assessment using Adaptive Interval Type-2 Fuzzy Sliding Mode Controlled Power System Stabilizer | 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 Stability Assessment using Adaptive Interval Type-2 Fuzzy Sliding Mode Controlled Power System Stabilizer Dipak R Swain, PRAKASH K RAY, Ranjan K Jena, SHIBA R PAITAL This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1412744/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 24 Mar, 2023 Read the published version in Soft Computing → Version 1 posted 5 You are reading this latest preprint version Abstract The low frequency electromechanical oscillations (LFEOs) in electric power system are because of weaker inter-ties, uncertainties, various faults and disturbances. These LFEOs (0.2-3 Hz.) are less in magnitude and are responsible for lower power transfer, increased losses and also threaten the stability of power system. An adaptive interval type-2 fuzzy sliding mode controlled power system stabilizer (AIT2FSMC-PSS) is presented to neutralize the LFEOs and enhance stability under uncertainties and external disturbances. The AIT2FSMC is a hybridization of type-2 fuzzy logic system (T2FLS) with conventional SMC to lower the chattering effect, enhance the robustness of reaching phase and improve system’s performance. Here, T2FLS is used for estimating the unknown functions of SMC. A robust sliding surface is presented to keep the system in the desired plane and remain stable under disturbance conditions. A modified control law is proposed for selecting the control parameters and Lyapunov synthesis is used to make the error asymptotically converging to zero. The effectiveness of the AIT2FSMC-PSS is accessed in single and multimachine power systems subjected to various uncertainties and disturbances. Again, comparison of performance indices (PIs), Eigen values, damping ratios, oscillating frequencies, integral time absolute error (ITAE), figure of demerit (FD) and frequency domain plots like Bode, root locus and Nyquist plots are also analyzed to access the efficacy of the proposed stabilizer. The simulated responses, comparative study and frequency plots conform the supremacy of the proposed AIT2FSMC-PSS in suppressing the LFEOs with lesser settling characteristics, offer stable performance and assures transient stability of power system as compared to other stabilizers. Adaptive Interval type-2 fuzzy sliding mode control (AIT2FSMC) Low frequency electromechanical oscillations (LFEOs) PSS MMPS SMIB Full Text Cite Share Download PDF Status: Published Journal Publication published 24 Mar, 2023 Read the published version in Soft Computing → Version 1 posted Editorial decision: Major Revision 05 Jan, 2023 Reviewers agreed at journal 18 Nov, 2022 Reviewers invited by journal 17 Jun, 2022 Editor assigned by journal 19 Mar, 2022 First submitted to journal 16 Mar, 2022 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. 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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-1412744","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":114313347,"identity":"1b07e749-d1fe-4dc9-ab36-20f2ea4d01ee","order_by":0,"name":"Dipak R Swain","email":"","orcid":"","institution":"OUTR Bhubaneswar","correspondingAuthor":false,"prefix":"","firstName":"Dipak","middleName":"R","lastName":"Swain","suffix":""},{"id":114313348,"identity":"19b3b1d6-4318-4a22-b8f3-0ad904e12753","order_by":1,"name":"PRAKASH K RAY","email":"","orcid":"","institution":"OUTR Bhubaneswar","correspondingAuthor":false,"prefix":"","firstName":"PRAKASH","middleName":"K","lastName":"RAY","suffix":""},{"id":114313349,"identity":"4cee8417-5ab8-460f-871c-1aa155371c1d","order_by":2,"name":"Ranjan K Jena","email":"","orcid":"","institution":"OUTR Bhubaneswar","correspondingAuthor":false,"prefix":"","firstName":"Ranjan","middleName":"K","lastName":"Jena","suffix":""},{"id":114313351,"identity":"6c256f28-2aca-4128-bdc2-da98ac6a3e01","order_by":3,"name":"SHIBA R PAITAL","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+0lEQVRIie2RsWrDMBRFnxAoi5vZoQX9gkynQEO+RWTokkLGjgHB8+JmduiQb8iSOUZDfiEgD87iKYOzmeChVp21VsZCdJZ3h3d0JQTg8fxHQoK/kwGQfWXD4G6ldbLUBupU7Pm3Gh3Y4FL4t8KihpwPuSr023XHhxRIdZn/rYg8i6MEyggZE/pjZSKkQEfrXY8SSgwD0AQZtEpiSKsw+tSj8FTiqAE9RTao9DgxU6cCR4nPbYtEFggNtZFORRxl/Poiyhmy+SL7WpoZUqJ638LT9/J0/swnG3XYFnVjJptYZdWl72Jd176b3beSpWvfclOguWfZ4/F4Ho0fhi9RrSc5brIAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0002-3883-0144","institution":"OUTR Bhubaneswar","correspondingAuthor":true,"prefix":"","firstName":"SHIBA","middleName":"R","lastName":"PAITAL","suffix":""}],"badges":[],"createdAt":"2022-03-02 17:35:17","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-1412744/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-1412744/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s00500-023-08037-8","type":"published","date":"2023-03-25T00:00:00+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":22964390,"identity":"f1549442-66e5-420f-a646-a1f11c38c451","added_by":"auto","created_at":"2022-06-22 19:34:28","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1583203,"visible":true,"origin":"","legend":"","description":"","filename":"MainManuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1412744/v1_covered.pdf"}],"financialInterests":"","formattedTitle":"Stability Assessment using Adaptive Interval Type-2 Fuzzy Sliding Mode Controlled Power System Stabilizer","fulltext":[{"header":"Full Text","content":"This preprint is available for \u003ca href='/article/rs-1412744/latest.pdf' target='_blank'\u003edownload as a PDF\u003c/a\u003e."}],"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":true,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"soft-computing","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"soco","sideBox":"Learn more about [Soft Computing](https://www.springer.com/journal/500)","snPcode":"500","submissionUrl":"https://submission.nature.com/new-submission/500/3","title":"Soft Computing","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Adaptive Interval type-2 fuzzy sliding mode control (AIT2FSMC), Low frequency electromechanical oscillations (LFEOs), PSS, MMPS, SMIB","lastPublishedDoi":"10.21203/rs.3.rs-1412744/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-1412744/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"The low frequency electromechanical oscillations (LFEOs) in electric power system are because of weaker inter-ties, uncertainties, various faults and disturbances. These LFEOs (0.2-3 Hz.) are less in magnitude and are responsible for lower power transfer, increased losses and also threaten the stability of power system. An adaptive interval type-2 fuzzy sliding mode controlled power system stabilizer (AIT2FSMC-PSS) is presented to neutralize the LFEOs and enhance stability under uncertainties and external disturbances. The AIT2FSMC is a hybridization of type-2 fuzzy logic system (T2FLS) with conventional SMC to lower the chattering effect, enhance the robustness of reaching phase and improve system’s performance. Here, T2FLS is used for estimating the unknown functions of SMC. A robust sliding surface is presented to keep the system in the desired plane and remain stable under disturbance conditions. A modified control law is proposed for selecting the control parameters and Lyapunov synthesis is used to make the error asymptotically converging to zero. 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