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Modeling the impact of electric vehicle charging on Lisbon's electricity distribution network

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  • Cardinha, Miguel Mouquinho
  • Lopes, Rui Amaral
  • Amaro, Nuno

Abstract

This 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.

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  • Cardinha, Miguel Mouquinho & Lopes, Rui Amaral & Amaro, Nuno, 2025. "Modeling the impact of electric vehicle charging on Lisbon's electricity distribution network," Utilities Policy, Elsevier, vol. 96(C).
    • Handle: RePEc:eee:juipol:v:96:y:2025:i:c:s0957178725001298
    DOI: 10.1016/j.jup.2025.102014
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