Urban planning must coordinate expanding public electric vehicle charging infrastructure (EV-CI) with energy distribution companies to satisfy growing demand. To this end, measurements and charger load curves are necessary to execute operation and planning studies. However, in cities with low penetration, databases are small and may not adequately characterize future consumption patterns over the expansion planning horizon. This article proposes an “Extensive Method for Demand Estimation in Charging Infrastructures” (X-Modeci) to fill this gap, which is especially beneficial for large metropolitan areas. The method employs statistical regressions to model the different phases of EV adoption, using traffic simulations to incorporate new travel dynamics that may arise due to increased charging and new EV battery range values. The proposal result is a spatial database that shows EV-CI load curves for typical urban traffic days in locations that would be more appropriate for installing new chargers. This results class can help energy companies identify the best connection locations and necessary reinforcements in the distribution grid to meet electromobility demand. The method was applied in the most significant capital in the Northeast of Brazil, showing that the estimated load curves tend to reach their maximum point between the end of the afternoon and the beginning of the night, following the high rate of vehicle circulation during this period. The case study clarified that the characterization of EV-CI use provided a 10% gain in the EV-CI usage rate about the national average, respecting regulated levels. In this way, the results of the proposed method can help the agents involved better understand the energy demand within the scope of electromobility plans with high spatial resolution at the location of the main avenues in urban areas.

Despite the benefits of wind and solar photovoltaic generation, its stochastic characteristic imposes uncertainties on the electric power system’s transient stability. The dynamics considering large synchronous generators has been studied for many decades, and its behavior is well known. On the other hand, the penetration of renewable sources has reached records, showing that it is still vital to study their impact. The present work proposes computer modeling and simulations for the dynamic analysis of electromechanical stability in a transmission system with significant renewable generation. In general, the literature does not propose solutions to the electromechanical stability analysis, proving that there are gaps to be filled. Therefore, the main work contribution consists of designing and coupling a battery energy storage system to a solar plant to smooth power variations. A significant innovation is the proposition of different scenarios that replicate disturbance situations, where the analyses were carried out using the Brazilian grid code. It was possible to evaluate the robustness of the proposed system and the efficiency of the storage system in mitigating the impacts of renewable generation. Thus, it is possible to achieve high levels of renewable penetration if extensive and rigorous studies are carried out.