Intelligent algorithm-based efficient planning of electric vehicle charging station: A case study of metropolitan city of India

Electric Vehicles (EVs) have gained rising popularity and become the mainstream mode of transportation in urban and rural areas in India and will be globally pervasive in the next few years. Certain issues should be taken into account in the adoption of EVs such as proper charging infrastructure, charging time and more significantly, sizing and siting of the Charging Stations (CSs), particularly in urban areas where the cost of land and location are of high significance. Therefore, it is important that the CS location be easily accessible and cost-effective for EV users. In this regard, this study presents an intelligent algorithm-based efficient planning of Electric Vehicle Charging Stations (EVCS), considering the geographical information and road network. The cost function was considered as the sum of the investment, charging station electrification, electric vehicle energy loss, and travel time costs. An intelligent algorithm-based approach was then employed to solve the planning problem of EVCS. Further, the impact on the reliability of the grid was evaluated by determining the charging cost loss at each considered location. The result revealed that the applied method provided better-optimized solutions that were beneficial to EV users, CS operators, and utility grid. (c) 2023 Sharif University of Technology. All rights reserved.