Estimating EV integration patterns considering spatial dispersion in distribution systems
The integration pattern of an electric vehicle (EV) fleet usually consists of 4 parameters including arrival time, departure time, state-of-charge and the number of integrations. Though such patterns have been widely studied in the past few years, how the EVs are dispersed in power distribution systems, are not studied yet. However, neglecting the spatial aspect of EV integration is equivalent to neglecting the mobile nature of EVs, thus cause misestimating the impact or benefit brought by EVs. Therefore, this paper proposes to associate traveling purpose with nodal load types in a distribution system, so as to characterize the geographical aspect of EVs as much as possible. The proposed method is based on database statistics and state transition probabilities. Results reveal that significant differences can exist regarding the EV integration patterns at different locations.