Artificial Scenario Generator for the Impact Study of Electric Vehicle Charging on the Distribution Grid

Ongoing fast paced research work on electric vehicles (EVs) demands efficient software tools to emulate different aspects of the EVs for more advancement and development of EV charging infrastructure in the power systems to assist massive adoption in coming years. In this regard an efficient EV load simulation model has been developed acquiring probabilistic method for characterizing the stochastic nature of EVs which generates 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. Moreover, all the source codes have been socialised and uploaded to the IEEEDataPort repository.