Electric Vehicles Load Profile Generator Based on the Probability Density Functions

This paper provides a prototype of an Electric Vehicles Load Profile Generator based on the probability density function of several parameters such as arrival time, total connection time, energy demand, and the information about the vehicle's battery size of charge and the power level of the charger. This tool of simulation, realised with Python, allows the generation of random EV load profiles and, in the next step, simulates the integration of these patterns in a defined grid through open-source and commercial software's. The Quasi-dynamic simulation approach is used since load profiles are time depending. The electric vehicles load profile generator is tested by simulating scenarios of different load profiles at points of common coupling with proposed simplification to allows maximising the precision of the results and at the same time to minimise the needed simulation time.