Research on Mechanisms of Generation-Load-Storage Participation in Virtual Power Plant from an Evolutionary Game Perspective

Research on Mechanisms of Generation-Load-Storage Participation in Virtual Power Plant from an Evolutionary Game Perspective | 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 Mechanisms of Generation-Load-Storage Participation in Virtual Power Plant from an Evolutionary Game Perspective Yuanying Chi, Yi Zheng, Xufeng Zhang, Jialin Li, Yuxi Wu, Yanzhao Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6212317/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 The Virtual Power Plant (VPP) represents an innovative energy dispatching model that integrates the generation side, storage side, and load side to optimize energy supply and demand. It plays a critical role in achieving carbon neutrality and enhancing energy efficiency. Based on evolutionary game theory, this study constructs a strategic game model for the three parties (generation, storage, and load sides) within the VPP, analyzing the stability of strategy choices, the evolutionary paths of equilibrium strategy combinations, and the relationships among key influencing factors. The results show that improving the initial willingness of all three parties is crucial for full participation in the VPP, while a reasonable benefit-sharing and cost-allocation mechanism is essential for system stability. Simulation results validate the model’s effectiveness, demonstrating the importance of cost-sharing between generation and storage sides, regulation of speculative behaviors, and incentive design for the load side in enhancing overall VPP efficiency. This study provides theoretical insights and practical recommendations for the management and scheduling of VPPs. Virtual Power Plant Three-Party Evolutionary Game Simulation Analysis 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-6212317","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":435234270,"identity":"ec4aa2a5-ef9b-482d-acd6-ca44318507b0","order_by":0,"name":"Yuanying Chi","email":"","orcid":"","institution":"Beijing University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Yuanying","middleName":"","lastName":"Chi","suffix":""},{"id":435234275,"identity":"19a5bff8-4fab-4a98-b7d4-8e534f0faa08","order_by":1,"name":"Yi Zheng","email":"","orcid":"","institution":"Beijing University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Yi","middleName":"","lastName":"Zheng","suffix":""},{"id":435234278,"identity":"e9fb0764-c371-4902-9488-a774ac7cdeb8","order_by":2,"name":"Xufeng Zhang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABC0lEQVRIiWNgGAWjYFACxgcgMgHEeszAAxYyIKCF2QCmhdkYqEWCJC1s0kCCsBaDG8mMjwt+1eXxz26/Vl0gc7iOgb15mwRDzR2cWiRnJDMbz+xjK5a4c6bs9gyewxIMPMfKJBiOPcOphV8i/5g0bw9PYsONnLTbPCAtEjlmEowNh3FqYZNIZv/N2yOROB+opRisRf4Nfi38EslszDw/DBI33Eg/xgyxhQe/Fsmex8zSvA0JiRtv5DBLz+BJl2zjSSu2SDiGW4vB8WTGzzx/6hLn3Uh/+Lmwx5qfn/3wxhsfanBrAQPGNhDJY8DA2AP0HYidgF8DEPwBEewPGBh+EFQ6CkbBKBgFIxAAACE/T6DGPZPJAAAAAElFTkSuQmCC","orcid":"","institution":"Beijing University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Xufeng","middleName":"","lastName":"Zhang","suffix":""},{"id":435234280,"identity":"28920644-2b38-4f21-bfee-3e94dae1c48e","order_by":3,"name":"Jialin Li","email":"","orcid":"","institution":"North China Electric Power University","correspondingAuthor":false,"prefix":"","firstName":"Jialin","middleName":"","lastName":"Li","suffix":""},{"id":435234282,"identity":"f169288b-68ae-47cb-bab1-30ea74def672","order_by":4,"name":"Yuxi Wu","email":"","orcid":"","institution":"Beijing University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Yuxi","middleName":"","lastName":"Wu","suffix":""},{"id":435234284,"identity":"85db027e-48d7-4104-baab-e25ad21b5ded","order_by":5,"name":"Yanzhao Zhang","email":"","orcid":"","institution":"Beijing University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Yanzhao","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2025-03-12 13:08:21","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6212317/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6212317/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":82728469,"identity":"bb627a33-911d-496e-ace7-60be3a35af45","added_by":"auto","created_at":"2025-05-14 14:23:49","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1215631,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6212317/v1_covered_acd1b879-6914-4a64-be66-77abbbb2490e.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on Mechanisms of Generation-Load-Storage Participation in Virtual Power Plant from an Evolutionary Game Perspective","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":"Virtual Power Plant, Three-Party Evolutionary Game, Simulation Analysis","lastPublishedDoi":"10.21203/rs.3.rs-6212317/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6212317/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe Virtual Power Plant (VPP) represents an innovative energy dispatching model that integrates the generation side, storage side, and load side to optimize energy supply and demand. 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