Key points are not available for this paper at this time.
This paper presents the impact of electric vehicle (EV) integration on urban residential distribution network in Bangladesh. A probabilistic load flow algorithm has been developed in this study to analyze system parameters for a selected residential feeder of a middle income economic zone in Dhaka, Bangladesh. The algorithm is based on Monte Carlo simulation that considers randomness of EV charging and vehicle mobility patterns to provide a probabilistic load profile for observing the effects of EV integration in distribution grids. Three scenarios of penetration (10%, 20%, and 40%) were considered replacing conventional vehicle fleet. Furthermore, implications of seasonal variation in the impact of electric vehicles on the respective network were investigated. Based on Monte Carlo simulation, an evaluation is presented to analyze aggregated power demand, energy demand, losses, line ampacity violations, voltage security margin violations and average voltage profiles. This study can be used to determine the critical level of EV penetration that does not contravene the grid security margin for a specific urban neighborhood in Bangladesh.
Abid et al. (Tue,) studied this question.