Optimal Deployment of Charging Stations Based on Required Vehicular Flow for Smart Cities

This project addresses the critical need to efficiently integrate electric vehicle (EV) charging infrastructure within the framework of smart cities and smart electrical grids. The core problem stems from the massive inclusion of electric vehicles as new electrical load, necessitating planning that minimizes environmental impact and implementation costs. The methodology employed is basic research, focusing on developing a heuristic model, treated as a combinatorial problem, for the strategic deployment of charging stations. This model seeks to identify the optimal location by simultaneously considering vehicular traffic flow demand within the urban area and the existing capacity of the electrical distribution network. The process involves identifying a georeferenced area, simulating the distribution network topology using CYMDIST software to determine load flows, and generating an optimal route map. The ultimate goal is to provide local authorities (GADs) with a cost-effective and efficient solution to support electric mobility, moving beyond the traditional approach of distribution companies that only consider network expansion without location optimization.<br/><br/><b>Goal</b>: <br/>To develop an optimal location model for electric vehicle charging stations (electrolineras), taking into account vehicular traffic constraints and the capacity of the electrical distribution network.<br/><br/><b>Research lines</b>: <br/>Planning and management of electrical systems