EV Charging Station Modeling Data Requirements for Power Distribution Networks

EV Charging Station Modeling Data Requirements for Power Distribution Networks | 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 EV Charging Station Modeling Data Requirements for Power Distribution Networks Ali Arzani, Mike Rogers, Satish M. Mahajan, Robert Craven This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8397995/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 Electric vehicle (EV) loads impact on the electric power utility distribution network (DN) can be best investigated when studying the corresponding EV charging stations (EVCS) in the DN. However, different types of data/metadata need to become available for properly modeling EVCSs for relevant power system studies. One metadata is EV users’ behavior or charging pattern. Generative AI synthetic data can be utilized to replicate EV user behavior as an alternative to metered EV data. In this paper, we first present the EVCS electrical data requirements for cyber-physical modeling and its impact on two main categories of power distribution system studies, i.e., operational planning and electromagnetic transient studies. Distribution planners can benefit by ensuring these data requirements are met prior to delving into relevant studies. We then describe the methods for generating synthetic EV data, along with sample results. Synthetic EV charging data have the potential to be utilized as input EVCS load-shapes to inform distribution grid techno-economic and offline/real-time cyber-physical simulations. Electrical Engineering EV charging station modeling electromagnetic transients operational planning synthetic data utility distribution networks Full Text Additional Declarations The authors declare no competing interests. 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. 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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-8397995","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":562543378,"identity":"7196a43f-ae66-4a68-a74c-ddf666b85748","order_by":0,"name":"Ali Arzani","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyklEQVRIiWNgGAWjYPACCTkwxdgAJA4QqcWYh4GZNC0MiT1Ea+FvP/v4w88dFun7pfsPPvi5g0GO70YCARedSTcw7D0jkdsjc5gZyGAwliSkheFAGkMCbxtQi0QymzRjG0PiBkJa5M8/Yzj4t00inUcimf03UEs9QS0GN9IYm4G2JAC1sDEDtSQYENJieOMZM7Nsm4Rhz41kY8leIGPmmQf4tcidT2P++LatTp59RuLDDz/bbOT5jhOwBR1IkKZ8FIyCUTAKRgF2AAAqFUFTVEUliQAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0002-5879-6967","institution":"Tennessee Technological University","correspondingAuthor":true,"prefix":"","firstName":"Ali","middleName":"","lastName":"Arzani","suffix":""},{"id":562543379,"identity":"7471db5c-b672-4038-a4e0-bc7c43f17fa6","order_by":1,"name":"Mike Rogers","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyklEQVRIiWNgGAWjYBADOTDJ2AAkDhCpxZiHgZlELYk9RGvRnX348IuPe+rS90v3H3zwcweDHN+NBPxazM6lpVnOeHY4t0fmMLNh7xkGY0mCWs7wmBnzHDiQ2yORzCbN2MaQuIEoLX8O1KXzSCSz/wZqqSdGi/FjhgPMCUAtbMxALQkGhLWwpTH2HDhs2HMj2Viyt03CcOaZB4S0MB/+8ONAnTz7jMSHH3622cjzHSdgCxCwSSBxJHAqQwbMH4hSNgpGwSgYBSMXAAAwqkXEx9GE4AAAAABJRU5ErkJggg==","orcid":"","institution":"Tennessee Technological University","correspondingAuthor":true,"prefix":"","firstName":"Mike","middleName":"","lastName":"Rogers","suffix":""},{"id":562543380,"identity":"98965789-c1a4-440f-ae27-b233c99446f1","order_by":2,"name":"Satish M. 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