Flexibility evaluation of a new distribution system based on cooperative game-Gaussian cloud model | 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 Flexibility evaluation of a new distribution system based on cooperative game-Gaussian cloud model Dai Xinyin This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4562553/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 30 Sep, 2024 Read the published version in Electrical Engineering → Version 1 posted 12 You are reading this latest preprint version Abstract Scientific and reasonable evaluation of the flexibility of the new distribution system is of great significance for the construction of the new distribution system. Firstly, based on the characteristics of the new distribution system, a flexibility evaluation index system with 4 first-level indicators and 12 secondary-level indicators is established from the four levels of power supply side, grid side, load side and energy storage side. Secondly, the cooperative game idea is used to combine and assign the three objective assignment methods, namely, entropy weight method, CRITIC method and coefficient of variation method, to ensure the accuracy of the weighting results. Finally, the Gaussian cloud model is used to analyze the distribution system in a region of China, and the calculation results of the Gaussian cloud model in the example are compared with the results of the fuzzy comprehensive evaluation model to verify the reliability and accuracy of the method. The results show that the proposed evaluation method can identify the weak links of the new distribution system and provide theoretical reference for accelerating the construction and sustainable development of the new distribution system. New distribution system Flexibility evaluation Cooperative game Gaussian cloud modeling Comprehensive evaluation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 30 Sep, 2024 Read the published version in Electrical Engineering → Version 1 posted Editorial decision: Revision requested 16 Aug, 2024 Reviews received at journal 12 Aug, 2024 Reviews received at journal 06 Aug, 2024 Reviewers agreed at journal 01 Aug, 2024 Reviews received at journal 30 Jul, 2024 Reviewers agreed at journal 29 Jul, 2024 Reviewers agreed at journal 29 Jul, 2024 Reviewers agreed at journal 29 Jul, 2024 Reviewers invited by journal 29 Jul, 2024 Editor assigned by journal 11 Jun, 2024 Submission checks completed at journal 11 Jun, 2024 First submitted to journal 11 Jun, 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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