Avaliação crítica de inserção de eletropostos em redes de distribuição considerando mitigação por agendamento de recargas

Abstract

This study seeks to assess and mitigate the installation impact of electric vehicle charging stations in distributed systems in terms of voltage level. The methodology applies the Monte Carlo simulation to obtain the possible critical cases of the system, given the installation of the recharging station, during a year of operation. A meta heuristic method, called Evolutionary Particle Swarm Optimization (EPSO), is used to schedule the electric vehicles recharges at the recharging station. The EPSO method uses as the objective function the ratio between the peak power and the mean power of the system (PAPR) in order to reduce the peak load seen by the grid. The case study was developed in a 33-bus test system. The load curves of the system are related to a distributed system from Canada and the electric vehicles recharge data used came from an UK project. The results showed that the insertion of the recharge station can lead to the appearance of critical cases in the system. However, with the use of the scheduling process it is possible to mitigate them, thus emphasizing the importance of this study.