PSO-based contingency management strategy assessment of distribution system using multiple severity indices

PSO-based contingency management strategy assessment of distribution system using multiple severity indices | 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 PSO-based contingency management strategy assessment of distribution system using multiple severity indices Ghada Wahby, Mohammed Morad, Ahmed A.M. El-Gaafary, Adel A. Elbaset This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3857081/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 Due to the competitive nature of the electrical market, ensuring the electrical system's secure, efficient, and cost-effective functioning is one of the most crucial challenges. This paper presents a new contingency management strategy for distribution systems to successfully deal with routine maintenance by applying the appropriate control action while taking operational requirements for voltage deviation and transmission line overloading into account. The proposed management strategy can help electricity company operators: 1) reduce generation costs by reducing the number of generators, 2) meet the required load demand with the least amount of generation consumption, and 3) ensure the system is secure so that all load lines are not loaded to their maximum power. The effectiveness of the proposed strategy is assessed using a multiple severity indices, which includes five indices. The five severity indices are real power performance index (PI), voltage deviation index (VDI), active power loss index (PLI), reactive power loss index (QLI), and line utilization factor (LUF). The proposed contingency management strategy has been implemented in MATLAB software utilizing the particle swarm optimization (PSO) technique for typical IEEE 14-bus distribution system operation considering three probable contingency cases. Case A considers the failure of a bus-containing generator. Case B considers the failure of a transmission line. Case C considers the failure of two transformers. The simulation results indicate a satisfactory range of proposed indices within safe limits. Physical sciences/Engineering Physical sciences/Mathematics and computing Contingency power flow index voltage deviation index active power loss index reactive power loss index line utilization factor and PSO. Full Text Additional Declarations No competing interests reported. Supplementary Files Datasheetandresult.pdf 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-3857081","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":268531721,"identity":"072a6f09-6af1-4369-8ab7-431672be5084","order_by":0,"name":"Ghada Wahby","email":"data:image/png;base64,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","orcid":"","institution":"Electrical and Communication Engineering Department, Modern Academy for Engineering and Technology, Cairo, Egypt","correspondingAuthor":true,"prefix":"","firstName":"Ghada","middleName":"","lastName":"Wahby","suffix":""},{"id":268531722,"identity":"e2e14281-190f-444b-a9cd-fb767ada0abc","order_by":1,"name":"Mohammed Morad","email":"","orcid":"","institution":"Electrical Engineering and Computers Engineering Dep., Higher Institute of Engineering and Technology, New Minya, Egypt","correspondingAuthor":false,"prefix":"","firstName":"Mohammed","middleName":"","lastName":"Morad","suffix":""},{"id":268531723,"identity":"db9ae5b7-292a-440f-b4a0-b2eaf9b55afd","order_by":2,"name":"Ahmed A.M. El-Gaafary","email":"","orcid":"","institution":"Engineering Department, Faculty of Engineering, Minia University, El-Minia, Egypt","correspondingAuthor":false,"prefix":"","firstName":"Ahmed","middleName":"A.M.","lastName":"El-Gaafary","suffix":""},{"id":268531724,"identity":"45510971-142c-4043-9238-4a61ecd77d8f","order_by":3,"name":"Adel A. Elbaset","email":"","orcid":"","institution":", Department of Electro Mechanics Engineering, Faculty of Engineering, Heliopolis University, Cairo, Egypt","correspondingAuthor":false,"prefix":"","firstName":"Adel","middleName":"A.","lastName":"Elbaset","suffix":""}],"badges":[],"createdAt":"2024-01-12 13:29:14","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3857081/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3857081/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":52577802,"identity":"8b628073-3f80-4cd4-8f66-1392abff2931","added_by":"auto","created_at":"2024-03-13 07:09:31","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3355750,"visible":true,"origin":"","legend":"","description":"","filename":"PSObasedcontingencymanagementstrategyassessmentofdistributionsystemusingmultipleseverityindices.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3857081/v1_covered_c931f2c4-4c44-44ad-a038-907562508613.pdf"},{"id":50088596,"identity":"98fff2dc-acbe-49ae-badb-189e6ac9be3e","added_by":"auto","created_at":"2024-01-24 10:36:29","extension":"pdf","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":328252,"visible":true,"origin":"","legend":"","description":"","filename":"Datasheetandresult.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3857081/v1/dcf5c7810dc3bf9c3eb8e72f.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"PSO-based contingency management strategy assessment of distribution system using multiple severity indices","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":"Contingency, power flow index, voltage deviation index, active power loss index, reactive power loss index, line utilization factor, and PSO.","lastPublishedDoi":"10.21203/rs.3.rs-3857081/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3857081/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eDue to the competitive nature of the electrical market, ensuring the electrical system's secure, efficient, and cost-effective functioning is one of the most crucial challenges. This paper presents a new contingency management strategy for distribution systems to successfully deal with routine maintenance by applying the appropriate control action while taking operational requirements for voltage deviation and transmission line overloading into account. The proposed management strategy can help electricity company operators: 1) reduce generation costs by reducing the number of generators, 2) meet the required load demand with the least amount of generation consumption, and 3) ensure the system is secure so that all load lines are not loaded to their maximum power. The effectiveness of the proposed strategy is assessed using a multiple severity indices, which includes five indices. The five severity indices are real power performance index (PI), voltage deviation index (VDI), active power loss index (PLI), reactive power loss index (QLI), and line utilization factor (LUF). The proposed contingency management strategy has been implemented in MATLAB software utilizing the particle swarm optimization (PSO) technique for typical IEEE 14-bus distribution system operation considering three probable contingency cases. Case A considers the failure of a bus-containing generator. Case B considers the failure of a transmission line. Case C considers the failure of two transformers. The simulation results indicate a satisfactory range of proposed indices within safe limits.\u003c/p\u003e","manuscriptTitle":"PSO-based contingency management strategy assessment of distribution system using multiple severity indices","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-01-24 10:36:23","doi":"10.21203/rs.3.rs-3857081/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"9d752bd1-f27b-43f0-a7c3-ec3937b0f966","owner":[],"postedDate":"January 24th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":28283730,"name":"Physical sciences/Engineering"},{"id":28283731,"name":"Physical sciences/Mathematics and computing"}],"tags":[],"updatedAt":"2024-03-13T07:01:14+00:00","versionOfRecord":[],"versionCreatedAt":"2024-01-24 10:36:23","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3857081","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3857081","identity":"rs-3857081","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}