Energy Management Method of Integrated Energy System Considering Multi-mode Energy Storage and User Regulation Characteristics

Energy Management Method of Integrated Energy System Considering Multi-mode Energy Storage and User Regulation Characteristics | 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 Energy Management Method of Integrated Energy System Considering Multi-mode Energy Storage and User Regulation Characteristics Luo Enbo, Lu Hai, Zhang Yuanlong, Zhang Hao, Xu Jiyong, Jie Guo, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4185493/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 With the development of multi-energy system and energy storage industry, the energy system is more diversified, and the research on its integration and complementarity is of great significance. First of all, the system model of users and building including multi-energy storage is established. The energy storage in the user model includes electric vehicle and building virtual energy storage. While considering human behavior and user comfort, the uncertainty model of human behavior based on conditional trigger is established. The energy storage in the building model includes actual energy storage devices such as batteries and ice storage tank. Then, a stackelberg game model is established, in which the user is the follower and takes the lowest cost as the goal to respond to the demand. As the leader, the building operator adjusts the energy price according to the result of the user response, with the goal of maximizing its own profit. The distributed algorithm is used to solve the problem and iterate to the game equilibrium repeatedly. Finally, a numerical example is given to verify the effectiveness of the proposed model and algorithm, and analyze the impact of human behavior on the virtual energy storage system, as well as the differences between generalized energy storage systems and the impact of strategies. Multi-energy system generalized energy storage human behavior demand response Stackelberg game 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-4185493","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":285539750,"identity":"d46302c3-bbf8-4d67-bc03-c53510b6b060","order_by":0,"name":"Luo Enbo","email":"","orcid":"","institution":"Yunnan Power Grid Co., Ltd. Electric Power Science Research Institute","correspondingAuthor":false,"prefix":"","firstName":"Luo","middleName":"","lastName":"Enbo","suffix":""},{"id":285539751,"identity":"1328fd6b-e20c-49b6-b5b7-27364576be8c","order_by":1,"name":"Lu Hai","email":"","orcid":"","institution":"Yunnan Power Grid Co., Ltd. Electric Power Science Research Institute","correspondingAuthor":false,"prefix":"","firstName":"Lu","middleName":"","lastName":"Hai","suffix":""},{"id":285539752,"identity":"31cbd803-6f3e-48e6-bfdb-45968f69c9ce","order_by":2,"name":"Zhang Yuanlong","email":"","orcid":"","institution":"Yunnan power grid co., ltd. Honghe power supply bureau, YunNan","correspondingAuthor":false,"prefix":"","firstName":"Zhang","middleName":"","lastName":"Yuanlong","suffix":""},{"id":285539753,"identity":"33e30a44-d303-4088-af2d-8380b2644e31","order_by":3,"name":"Zhang Hao","email":"","orcid":"","institution":"Yunnan Power Grid Co., Ltd. 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First of all, the system model of users and building including multi-energy storage is established. The energy storage in the user model includes electric vehicle and building virtual energy storage. While considering human behavior and user comfort, the uncertainty model of human behavior based on conditional trigger is established. The energy storage in the building model includes actual energy storage devices such as batteries and ice storage tank. Then, a stackelberg game model is established, in which the user is the follower and takes the lowest cost as the goal to respond to the demand. As the leader, the building operator adjusts the energy price according to the result of the user response, with the goal of maximizing its own profit. The distributed algorithm is used to solve the problem and iterate to the game equilibrium repeatedly. Finally, a numerical example is given to verify the effectiveness of the proposed model and algorithm, and analyze the impact of human behavior on the virtual energy storage system, as well as the differences between generalized energy storage systems and the impact of strategies.\u003c/p\u003e","manuscriptTitle":"Energy Management Method of Integrated Energy System Considering Multi-mode Energy Storage and User Regulation Characteristics","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-04-03 07:07:01","doi":"10.21203/rs.3.rs-4185493/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":"2aa6a445-0d6a-4393-a368-f7c136795fa6","owner":[],"postedDate":"April 3rd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-06-05T16:59:13+00:00","versionOfRecord":[],"versionCreatedAt":"2024-04-03 07:07:01","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4185493","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4185493","identity":"rs-4185493","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}