Optimal Location and Impact Analysis of Fast Charging Station on Distribution System

The public transportation sector contributes significantly to greenhouse gas emissions, leading to increased carbon levels and global temperatures. Electric Vehicles (EVs) have become a promising solution to reduce pollution and reliance on fossil fuels. Despite efforts to convert Internal Combustion Engine (ICE) vehicles to electric, the conversion rate remains low, and the availability of Electric Vehicle Charging Stations (EVCS) is limited. This necessitates the expansion of Electric Vehicle Charging Infrastructure (EVCI), which is accessible to the general populace. The increasing number of electric vehicles emphasizes the need for public EVCI to facilitate the adoption of electric vehicles and provide efficient charging options for electric vehicle owners. To meet the growing demand for electric vehicles, EVCIs must offer fast charging capabilities with multiple Charging Outlets (COs), although this can result in more traffic at charging stations. It results in an increased load of EVCS on the Distribution System (DS), which requires optimal placement of EV load to mitigate voltage deviation and power loss. Therefore, the optimal allocation of the charging station algorithm with varying capacities is proposed using stochastic optimisation techniques at strategic locations within the DS to minimise power loss and voltage deviations. The proposed approach ensures an efficient, reliable, and scalable charging infrastructure, supporting the increasing adoption of EVs and enhancing the overall stability of the distribution network.