Electric Vehicle Charging in Buildings and its Impact on the Sizing and Planning of Electrical Distribution Networks

This project addresses the need to plan electric vehicle (EV) charging infrastructure in light of increasing adoption, mitigating the impact on the conventional power grid. The primary goal is to facilitate the massive introduction of EVs by providing consumer confidence and ensuring the viability of the electrical supply. The methodology focuses on simulating heterogeneous vehicular traffic in georeferenced scenarios (urban, suburban, and rural) using tools like SUMO and Matlab. Through traffic flow simulation, the aim is to determine the optimal topology for charging stations, observing the resulting electrical demand. Subsequently, the required electrical infrastructure to support this demand is analyzed. The methodological approach includes a historical-descriptive analysis of electromobility technologies (including smart chargers, V2G, and battery management systems), followed by an experimental method for modeling and simulation, and finally, an inductive-deductive contrast of results. The expected outcome is a model capable of proposing minimum-cost electrical grid deployment solutions, ensuring the safe and efficient planning of charging points.<br/><br/><b>Goal</b>: <br/>Simulate heterogeneous vehicular traffic in urban, suburban, and rural areas to determine the optimal topology for charging stations (EC) and the required electrical resource for the electric vehicle (EV) charging infrastructure (IC). The ultimate goal is to propose minimum-cost alternatives for efficiently deploying the necessary electrical grid to meet the demand generated by the massive adoption of EVs.<br/><br/><b>Research lines</b>: <br/>Smart electrical grids