Dynamic Co-simulation of agent-based controlled charging electric vehicles and their impacts on low-voltage networks

During the last decades the electric vehicles (EVs) technologies are developing rapidly which may lead to a significant penetration level in the mobility market in the near future. As a consequence of these high penetration levels, power grids, especially on the low voltage level, might face a number of technical problems. These can be transformer and cables overloads, feeder congestions and especially voltage limits violations. Renewables may introduce a solution for part of these problems but not all of them. In order to minimize peak loads caused by charging EVs, intelligent control algorithms for EV charging are needed. This paper focuses on a dynamic co-simulation environment which enables the realistic evaluation of the impact of charging EVs on electrical networks. This co-simulation environment also simulates the behavior of the EV's and estimates the required charging power. In order to test the co-simulation environment a study case is analyzed for a rural residential network with a high penetration of photovoltaic systems.