Statistical simulation of Electric Vehicle behaviour applied to low voltage distribution network

The usage of Electric vehicles is increasing every day, and its penetration into the present electrical distribution network on large-scale needs to be investigated by the distribution companies to be future-ready and to provide good quality of electric supply. This article provides a statistical methodology to model electric vehicle charging behavior in a large network using real measurement data set. The vital information such as time of connection, duration of the connection, and power absorbed during the charging are extracted. The probability distribution of these extracted events is used to model 300 electric vehicle charging behavior whose integration with a non-synthetic low voltage European test network built using the real measurement data set is investigated for voltage distribution and the Voltage unbalance factor among the busses, feeders, and other elements present in the network. The numerical simulation framework is executed with Opendss for load flow analysis and MATLAB for statistical analysis and to invoke the load flow solver.