Abstract
EV charging stations (EVCS) are expected to be deployed at business premises such as universities, hospitals, shopping malls and other office buildings in the future. Their impact on electric grids depends on their combined daily load profile and proportions of its constant current (CC) and constant voltage (CV) load. The daily load profile and the proportion of its CC and CV are different for different factors. The factors include penetration, market share of different EVs, state of charge (SOC) after the last charging, driving distance, number of EVs present at EVCS, rate of arrival and departure of EVs, charging rate, duration of charging etc. Therefore, the aim of this paper is to develop a model that will help forecasting the daily load profile and the proportions of its CC and CV for given stochastic distributions of various factors.
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