Cardinha, Miguel MouquinhoLopes, Rui AmaralAmaro, Nuno2025-08-252025-08-252025-100957-1787PURE: 123732265PURE UUID: 82ac23aa-857c-4fb8-a597-2e847fad247bScopus: 105011181972ORCID: /0000-0002-6953-1403/work/190503060ORCID: /0000-0001-5781-7482/work/190503284http://hdl.handle.net/10362/186860Publisher Copyright: © 2025 The AuthorsThis work proposes a methodology to assess the impact of electric vehicle (EV) charging on Lisbon's electricity distribution network, utilizing real load diagrams by postal code and a genetic algorithm to model the baseline and added EV load at substations. The method enables geographic mapping of EV charging to specific substations. Results show that increased EV charging significantly increases power flow, line overloads, and system losses. A fivefold increase caused some lines to exceed 100 % capacity, while a thirtyfold increase led to peak loads at 223 % and losses rising by up to 274 %. Bus voltage levels remained stable across scenarios.11347789engElectric vehiclesEnergy transitionImpacts on the power gridBusiness and International ManagementTransportationSociology and Political ScienceEconomics and EconometricsEconomics, Econometrics and Finance (miscellaneous)General EnergyEconomics, Econometrics and Finance(all)LawSDG 7 - Affordable and Clean Energyjournal article10.1016/j.jup.2025.102014https://www.scopus.com/pages/publications/105011181972