Research on Optimization Configuration of Distributed Power Flow Controllers in Distribution Networks with Distributed Photovoltaics

Research on Optimization Configuration of Distributed Power Flow Controllers in Distribution Networks with Distributed Photovoltaics | 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 Research on Optimization Configuration of Distributed Power Flow Controllers in Distribution Networks with Distributed Photovoltaics Bing Wang, Lei Chen, Enshan Zhu, Xiao Cui, Zhongli Wang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6991584/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 This study investigates the optimization of site selection and capacity setting for distributed power flow controllers to improve the safety and stability of the power grid and reduce operating costs. Introducing the concept of weighted power flow entropy, the weighted power flow entropy values of different installation positions in the power grid are calculated. Based on the minimum weighted power flow entropy index, the installation position of the distributed power flow controller is determined. Considering the economic efficiency of power grid operation, the benefits obtained from the change in transmission capacity after adding DPFC and the cost required for laying distributed power flow controllers are calculated for the power flow section. Genetic algorithm is applied to size the distributed power flow controller with Distributed Stateful Stream Processor with Chaining and Checking unit capacity as the step size. When the maximum economic efficiency is reached, it is the optimal capacity. The site selection and capacity determination method proposed in the paper was validated in an IEEE 30 node example system, and the results showed the effectiveness of the proposed method. Distributed power flow controller Weighted power flow entropy Economy Fixed volume 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-6991584","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":488852623,"identity":"fed7124e-b76e-46dd-9eb8-8862587bb028","order_by":0,"name":"Bing Wang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAzklEQVRIiWNgGAWjYBAC+4bjBx98/Pdfzv54A5FaDBjPJBvOYGM2ZjhzgFgtzAfMhHnYmBMZbiQQqcWc7UAaAw8PWwLjzMcbbzDU2EQT1GLZc/DYAwkJnjxm6bRiC4ZjabkNBPXcOJBuYGAgUcwmnWMmwdhwmAgt9x+YSSQkGCT2SJ4hUovBgQNmEgcOJCTOkOAhUotkAzCQGxsOGBvwAP2SQIxf+BmOH3z8t+GAnAH74Y03PtTYEOEXZEdKJJCiHKKFVB2jYBSMglEwMgAAA9RDK7huJP0AAAAASUVORK5CYII=","orcid":"","institution":"State Grid Hebei Electric Power Company Hengshui Power Supply Branch","correspondingAuthor":true,"prefix":"","firstName":"Bing","middleName":"","lastName":"Wang","suffix":""},{"id":488852624,"identity":"1b8843a4-9e0b-47e8-aff4-177606c0d652","order_by":1,"name":"Lei Chen","email":"","orcid":"","institution":"State Grid Hebei Electric Power Company Hengshui Power Supply Branch","correspondingAuthor":false,"prefix":"","firstName":"Lei","middleName":"","lastName":"Chen","suffix":""},{"id":488852625,"identity":"59706864-9433-4933-bffb-be6742843253","order_by":2,"name":"Enshan Zhu","email":"","orcid":"","institution":"State Grid Hebei Electric Power Company Hengshui Power Supply Branch","correspondingAuthor":false,"prefix":"","firstName":"Enshan","middleName":"","lastName":"Zhu","suffix":""},{"id":488852626,"identity":"abd40c45-e5be-4ba5-9623-9f0e03c78b4e","order_by":3,"name":"Xiao Cui","email":"","orcid":"","institution":"State Grid Hebei Electric Power Company Hengshui Power Supply Branch","correspondingAuthor":false,"prefix":"","firstName":"Xiao","middleName":"","lastName":"Cui","suffix":""},{"id":488852627,"identity":"09782b36-046f-4b0d-981d-0e35b0eb278e","order_by":4,"name":"Zhongli Wang","email":"","orcid":"","institution":"State Grid Hebei Electric Power Company Hengshui Power Supply Branch","correspondingAuthor":false,"prefix":"","firstName":"Zhongli","middleName":"","lastName":"Wang","suffix":""}],"badges":[],"createdAt":"2025-06-27 12:23:27","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6991584/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6991584/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":91620787,"identity":"889459e1-1a91-4a3b-805f-68bff4721eaf","added_by":"auto","created_at":"2025-09-18 11:24:23","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":556608,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6991584/v1_covered_9eb0acbb-af2c-401d-b1e5-2113a57d38de.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on Optimization Configuration of Distributed Power Flow Controllers in Distribution Networks with Distributed Photovoltaics","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":"Distributed power flow controller, Weighted power flow entropy, Economy, Fixed volume","lastPublishedDoi":"10.21203/rs.3.rs-6991584/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6991584/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study investigates the optimization of site selection and capacity setting for distributed power flow controllers to improve the safety and stability of the power grid and reduce operating costs. 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