Travel Activity Based Stochastic Modelling of Load and Charging State of Electric Vehicles

The uptake of electric vehicles (EV) is increasing every year and will eventually replace the traditional transport system in near future. This imminent increase urging stakeholders to plan up-gradation power infrastructure. However, for efficient planning support an additional load, accurate assessment vehicle load quality indices required. Although several EV models estimate charging profile electrical are available, but they not capable providing a high-resolution evaluation current, especially at higher frequency. paper presents probabilistic approach estimating time-dependent harmonic currents future load. model based on detailed travel activities existing car owners reported survey. probability distribution functions departure time, distance, arrival time span calculated. profiles measurements EVs.