Authors: Khan, Komal, El-Sayed, Islam, Arboleya, Pablo

Venue: IEEE DataPort

Type: Dataset

Abstract: An efficient artificial scenerio generator for EV load simulation modeling has been developed acquiring probabilistic method for characterizing the stochastic nature of EVs and generate the schedule of EVs charging to ultimately achieve the EV load profile for impact study of EVs on distribution network. Model has been tested under different settings and by generating different scenarios to make it viable, realistic and adaptable to any defined characteristics.

DOI: 10.21227/1f1g-tp69