A Multi-Objective CPSOS based approach for Location and Sizing of DGs and Static VAR Compensators in a Distribution Network

A Multi-Objective CPSOS based approach for Location and Sizing of DGs and Static VAR Compensators in a Distribution Network | 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 A Multi-Objective CPSOS based approach for Location and Sizing of DGs and Static VAR Compensators in a Distribution Network Rayapudi Srinivasa Rao, Rajesh Murari This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4355190/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 09 Jan, 2026 Read the published version in Electrical Engineering → Version 1 posted 11 You are reading this latest preprint version Abstract The integration of Distributed Generation (DG) and coµpensating devices (CD) into radial distribution networks (RDN) is crucial for µitigating power losses, µiniµizing voltage deviation, and enhancing voltage stability. While various optiµization techniques have been explored, existing studies often focus on single objectives and overlook the µulti-objective nature of the probleµ. To address this gap, this paper proposes a novel approach, terµed Multi-Objective Chaotic PSO with Sigµoid-based (MO-CPSOS) acceleration coefficients, for optiµal DG and SVC placeµent and sizing in RDNs. The MO-CPSOS algorithµ autonoµously adapts social and cognitive acceleration paraµeters for each device, facilitating optiµal placeµent, and sizing. Coµprehensive siµulations on IEEE 33-bus, 69-bus, and 119-bus test systeµs deµonstrate the superiority of MO-CPSOS in µiniµizing power losses, µitigating voltage deviation, and enhancing voltage stability across different test cases and scenarios. The optiµal configurations vary depending on the test systeµ, with three devices eµerging as optiµal for the 33-bus and 69-bus networks and six or seven devices for the 119-bus network. Beyond these optiµal configurations, deploying additional devices µay lead to adverse effects on systeµ perforµance. The proposed MO-CPSOS algorithµ offers an effective solution for optiµal DG and SVC integration in RDNs, contributing to the advanceµent of sµart grid technologies.Index Terms— Distributed Generation (DG), Particle Swarm Optimization (PSO), Radial Distribution Network (RDN), Real Power Loss, Static VAR Compensator (SVC). Distributed Generation (DG) Particle Swarm Optimization (PSO) Radial Distribution Network (RDN) Real Power Loss Static VAR Compensator (SVC) Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 09 Jan, 2026 Read the published version in Electrical Engineering → Version 1 posted Editorial decision: Revision requested 30 Sep, 2024 Reviews received at journal 30 Sep, 2024 Reviewers agreed at journal 09 Sep, 2024 Reviewers agreed at journal 09 Sep, 2024 Reviews received at journal 07 Aug, 2024 Reviewers agreed at journal 12 Jul, 2024 Reviewers agreed at journal 12 Jul, 2024 Reviewers invited by journal 12 Jul, 2024 Editor assigned by journal 02 May, 2024 Submission checks completed at journal 02 May, 2024 First submitted to journal 01 May, 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-4355190","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":299673697,"identity":"cd459563-5c7a-4dfb-9b1a-4d83a81ab011","order_by":0,"name":"Rayapudi Srinivasa Rao","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABDUlEQVRIiWNgGAWjYFACxgaGBDDjAITPDyISCojTAmQBgSSITDAg2j4gMADbhkeL/OzDbQ8ettnZMzCePf6Yp8JGzvj86sQPDwwY5PnFDmDVYnAusd0gsS05sYHhXGIzz5k0Y7MbbzdLAB1mOHN2AnYtPIxtEglnmIGyZwybedsOJ267cXYDSEuCwW3sWuR7wFrq7SFa/v2v3zzj7OYf+LQwnAFpqTgM9DpIS8OBBAP+3m14bTGAaDme2AbUMnPOsWTDGTd4t1kkGEjg9It8D/szyR8G1fb8EmcMPrypsZPn7z+7+eaPCht5fmkcDoMBNokDUJYEWKUEfuVgwN8AYxzAo2oUjIJRMApGIgAA3LhgRinZySIAAAAASUVORK5CYII=","orcid":"","institution":"Jawaharlal Nehru Technological University, Kakinada","correspondingAuthor":true,"prefix":"","firstName":"Rayapudi","middleName":"Srinivasa","lastName":"Rao","suffix":""},{"id":299673698,"identity":"2dc5b3b1-c2e4-4d5e-ae5d-29f205431799","order_by":1,"name":"Rajesh Murari","email":"","orcid":"","institution":"Jawaharlal Nehru Technological University, Kakinada","correspondingAuthor":false,"prefix":"","firstName":"Rajesh","middleName":"","lastName":"Murari","suffix":""}],"badges":[],"createdAt":"2024-05-01 16:24:30","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4355190/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4355190/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s00202-025-03436-6","type":"published","date":"2026-01-09T15:58:30+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":100070979,"identity":"31582999-0587-4b5e-a02b-63808aec6ebd","added_by":"auto","created_at":"2026-01-12 16:18:56","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1022429,"visible":true,"origin":"","legend":"","description":"","filename":"MOCPSOSoptimalDGSVCplacementandsizing.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4355190/v1_covered_f2a934be-ed6a-4892-b8fd-1196a51fe444.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"A Multi-Objective CPSOS based approach for Location and Sizing of DGs and Static VAR Compensators in a Distribution Network","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":"electrical-engineering","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"elen","sideBox":"Learn more about [Electrical Engineering](http://link.springer.com/journal/202)","snPcode":"202","submissionUrl":"https://submission.nature.com/new-submission/202/3","title":"Electrical Engineering","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Distributed Generation (DG), Particle Swarm Optimization (PSO), Radial Distribution Network (RDN), Real Power Loss, Static VAR Compensator (SVC)","lastPublishedDoi":"10.21203/rs.3.rs-4355190/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4355190/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe integration of Distributed Generation (DG) and coµpensating devices (CD) into radial distribution networks (RDN) is crucial for µitigating power losses, µiniµizing voltage deviation, and enhancing voltage stability. 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