{"data":{"id":"10.4121/0457e3aa-5fa9-4be3-8bdd-3ae5f4078928","type":"dois","attributes":{"doi":"10.4121/0457e3aa-5fa9-4be3-8bdd-3ae5f4078928","prefix":"10.4121","suffix":"0457e3aa-5fa9-4be3-8bdd-3ae5f4078928","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Alvaro Menendez Agudin","nameType":"Personal","givenName":"Alvaro","familyName":"Menendez Agudin","nameIdentifiers":[{"nameIdentifier":"0000-0001-6880-3449","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Gautham Ram Chandra Mouli","nameType":"Personal","givenName":"Gautham Ram","familyName":"Chandra Mouli","nameIdentifiers":[{"nameIdentifier":"0000-0003-1997-4959","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Pavol Bauer","nameType":"Personal","givenName":"Pavol","familyName":"Bauer","nameIdentifiers":[{"nameIdentifier":"0000-0002-1171-9972","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]}],"titles":[{"title":"Data, code and results behind the journal article \"Electric Vehicles as Mobile Flexibility Resources: Alleviating Grid Congestion with Location-Aware Vehicle-to-Grid\" (under review). Alvaro Menendez-Agudin , Pavol Bauer Gautham Ram Chandra Mouli"}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2026,"subjects":[{"subject":"Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"09"},{"subject":"Electrical and Electronic Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0906"},{"subject":"Energy Storage, Distribution and Supply","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"8506"},{"subject":"Energy","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"85"},{"subject":"Energy Transformation","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"8504"},{"subject":"Renewable Energy","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"8505"},{"subject":"Electric Vehicle (EV)"},{"subject":"Vehicle-to-grid (V2G)"},{"subject":"Energy Transition"},{"subject":"Grid Congestion"}],"contributors":[{"name":"TU Delft, Electrical Engineering, Mathematics and Computer Science (EEMCS), Electrical Sustainable Energy (ESE), DC Systems, Energy Conversion \u0026 Storage (DCE\u0026S)","nameType":"Organizational","contributorType":"Other","affiliation":[],"nameIdentifiers":[]}],"dates":[{"date":"2026-10-23","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/0457e3aa-5fa9-4be3-8bdd-3ae5f4078928.v1","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["Data: CSV (.csv) for scenario parameters, station definitions and the results of the MV and LV runs. Code: Python scripts (.py), with a requirements.txt listing the dependencies. Documentation and figures: Markdown (.md), plain text (.txt, licence) and PDF (.pdf) for the figures and tables of the article, plus PNG (.png). The SimBench grids are not included and must be downloaded separately."],"version":"1","rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This dataset supports a simulation study on whether location-aware V2G can alleviate congestion in distribution grids. Three strategies of increasing spatial flexibility (stationary V2G, locational V2G and relocation V2G by a fleet operator guided by congestion prices) are compared on two SimBench medium-voltage grids (one urban, one semi-urban) for a summer and a winter day, using a mixed-integer linear programme coupled to an AC power flow (pandapower). The impact on residential feeders is then assessed on SimBench low-voltage grids using two coordination schemes: MV top-down, where the MV solution is imposed and refined iteratively, and LV bottom-up, where each LV grid optimises its own EVs against a blended congestion price. The dataset contains scenario parameters, station definitions and instructions to obtain the (not redistributed) SimBench grids, synthetic EV mobility chains, the Python code of the MV and LV models and plotting scripts, and the results of 12 MV scenarios plus 144 LV runs with summary tables and figures.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[{"awardTitle":"NWO FlexEC","funderName":"Nederlandse Organisatie voor Wetenschappelijk 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