The distribution system is highly penetrating with
the Electric Vehicle charging stations for increasing Electric Vehicle
demand for a sustainable future. The impact of this large-scale
integration into the distribution network at a medium voltage
level has to be analyzed before dealing with the optimization
problem of Electric Vehicles. This article elucidates the modeling
of Electric Vehicle charging behavior using a measurement
dataset whose aggregation integrated into the medium voltage
network is analyzed to study their impact on the power network
using probabilistic load flow simulation. The medium voltage
network selected is the 69 bus test network to which Electric
Vehicle aggregation is imposed as PQ load, and the voltage
distribution and the voltage unbalance factor for such integration
are discussed in the article at three different time windows i.e.,
morning, midday and evening.
Index Terms—Data-driven modeling, EV charging stations,
MV distribution network, Monte Carlo, Probabilistic load flow.