Loadability of the distribution electric grid considering massive inclusion of electric vehicles

This research addresses the challenge of massive Plug-in Electric Vehicle (PEV) introduction to mitigate greenhouse gas emissions and improve air quality, aiming to facilitate this transition by reducing reliance on internal combustion vehicles. The core approach involves developing a heuristic model to simulate the stochastic behavioral patterns of PEV users to determine the optimal sizing for charging stations. Once the required power is established, simulation software (CYMDIST and Digsilent) will be employed to evaluate load flows on existing electrical distribution networks. The goal is to verify if the current infrastructure can support the new demand generated by electric mobility (cars, motorcycles, bicycles, buses). Based on simulation results, the model will propose cost-effective alternatives for the efficient and safe deployment of necessary electrical grids, thereby contributing to smart city planning and analyzing the impact of electric mobility on conventional power networks.<br/><br/><b>Goal</b>: <br/>Develop a heuristic model to simulate the stochasticity of Plug-in Electric Vehicle (PEV) operators to determine the optimal sizing and operation of charging stations. Subsequently, through load flow simulation, the traditional distribution electrical system will be evaluated to propose viable alternatives for public charging infrastructure construction.<br/><br/><b>Research lines</b>: <br/>Smart electrical grids