Abstract
This paper presents a new approach using queuing analysis to determine the best location of plug-in electric vehicle (PEV) charging stations considering the resulting charging load and their impact on distribution system operations. A large database of mobility statistics available from Waterloo Region Transportation Tomorrow Survey (TTS) is used to model the arrival rate of PEVs at the charging station as continuous and random, non-homogeneous Poisson processes. Using the developed arrival rate profiles, appropriate queuing models are developed to estimate the 24-hour charging load profile at a PEV charging station. A distribution operations model is used to identify the optimal siting of charging stations while reducing the distribution losses and bus voltage deviations on distribution feeders.
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