Coordinated electric vehicles fast-charging considering time and location management

Abstract

Recently, the trend towards increasing the utilization of Electric Vehicles (EVs) is becoming essential and encouraged by all governments worldwide to reduce carbon emission and pollution. This paper studies EV charging stations' effect on the grid performance in both conventional and fast charging modes. Charging EVs without coordination leads to grid problems such as increased energy losses and voltage deviations. Therefore, coordinated charging is crucial to minimize these issues to increase grid efficiency, stability, and reliability. The optimization technique used in this paper to meet the above requirements is genetic algorithm (GA). The work reported in this paper provides a comprehensive comparison between conventional and fast charging of EVs with coordination, considering the effect of EVs penetration level on the grid performance is considered. An optimal solution aiming to minimize grid losses and achieve reduced voltage fluctuations is provided for charging EVs in the two cases by coordinating the charging time and identifying each connected vehicle's charging location on the distribution grid. Simulation results are provided to elucidate the presented concepts.