Fairness by design in shared-energy allocation problems

Fairness by design in shared-energy allocation problems | 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 Fairness by design in shared-energy allocation problems Zoe Fornier, Vincent Leclère, Pierre Pinson This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3914653/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract This paper studies how to aggregate prosumers (or large consumers) and their collective decisions in electricity markets, with a focus on fairness. Fairness is essential for prosumers to participate in aggregation schemes. Some prosumers may not be able to access the energy market directly, even though it would be beneficial for them. Therefore, new companies offer to aggregate them and promise to treat them fairly. This leads to a fair resource allocation problem. We propose to use acceptability constraints to guarantee that each prosumer gains from the aggregation. Moreover, we aim to distribute the costs and benefits fairly, taking into account the multi-period and uncertain nature of the problem. Rather than using financial mechanisms to adjust for fairness issues, we focus on various objectives and constraints, within decision problems, that achieve fairness by design. We start from a simple single-period and deterministic model, and then generalize it to a dynamic and stochastic setting using, e.g., stochastic dominance constraints. Aggregation Fairness Stochastic Optimization Prosumers Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 26 Jun, 2024 Reviews received at journal 26 Jun, 2024 Reviews received at journal 01 May, 2024 Reviewers agreed at journal 14 Apr, 2024 Reviewers agreed at journal 08 Mar, 2024 Reviewers invited by journal 06 Feb, 2024 Editor assigned by journal 05 Feb, 2024 Submission checks completed at journal 02 Feb, 2024 First submitted to journal 31 Jan, 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-3914653","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":270596781,"identity":"9a1d2be6-2f80-4a1c-ac70-706b68ffe334","order_by":0,"name":"Zoe Fornier","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA00lEQVRIie3QPQrCMBTA8RcCr0vVNU65Qrt4nnTpVHToklEQ0sUewMlrOEaEuvQCYpG6dG5HB8F+TA62GR3yh0Ae5AfhAdhs/5psDwKQsp+oNiD5QKjXTygMSfeWGRGe7DRo+VjPnbSSzanggLNylJB9JkDncYzudXU75JW/RccbJZRFHm2UCBQL8T5TFwFcjX8M2aaGc0d4hfG7I4jjxGURDIQhUmJCmJt5WuctcUO6TFXlqynSbuxZaimCY5KR+qUKvpgiXfrrbgB+c5vNZrMNfQAhWkEilvzcOQAAAABJRU5ErkJggg==","orcid":"","institution":"METRON","correspondingAuthor":true,"prefix":"","firstName":"Zoe","middleName":"","lastName":"Fornier","suffix":""},{"id":270596782,"identity":"f1fb0359-c915-4b9c-b8d4-686046fffb0d","order_by":1,"name":"Vincent Leclère","email":"","orcid":"","institution":"École des Ponts ParisTech","correspondingAuthor":false,"prefix":"","firstName":"Vincent","middleName":"","lastName":"Leclère","suffix":""},{"id":270596783,"identity":"614adf4f-39dc-440d-9368-a1b18d4c9ed3","order_by":2,"name":"Pierre Pinson","email":"","orcid":"","institution":"Imperial College London","correspondingAuthor":false,"prefix":"","firstName":"Pierre","middleName":"","lastName":"Pinson","suffix":""}],"badges":[],"createdAt":"2024-01-31 17:29:16","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3914653/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3914653/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":50642867,"identity":"2975b68d-63ea-458d-b643-415ff7cbebbf","added_by":"auto","created_at":"2024-02-05 06:29:56","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":444792,"visible":true,"origin":"","legend":"","description":"","filename":"Fairnessinmicrogrid4.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3914653/v1_covered_d68f0037-0554-4d89-b4e6-00ccc62e0208.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Fairness by design in shared-energy allocation problems","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":"computational-management-science","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Computational Management Science](https://www.springer.com/journal/10287)","snPcode":"10287","submissionUrl":"https://submission.nature.com/new-submission/10287/3","title":"Computational Management Science","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Aggregation, Fairness, Stochastic Optimization, Prosumers","lastPublishedDoi":"10.21203/rs.3.rs-3914653/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3914653/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This paper studies how to aggregate prosumers (or large consumers) and their collective decisions in electricity markets, with a focus on fairness. 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