The introduction of alternative vehicle technologies, such as Electrical Vehicles (EVs) is a practical endeavour to minimize CO2 and NOX emissions. Therefore, EVs raise concerns about vehicle charging and management. The deployment of charging stations (CS) for EVs is explored in this study due to the importance of charging station infrastructure. Furthermore, its objective is to examine the economic and technical aspects of the placement of fast charging stations, the investment cost necessary to install the charging station is considered under the economic aspect, whereas distribution system energy loss and voltage variation at buses are considered under the technical aspect to construct CS at optimal locations. First, a mathematical formulation of the problem is developed to deploy the CS in the distribution system. A novel AI-based hybrid technique of gray wolf optimization and particle swarm optimization (HGWOPSO) is used to determine the optimal location of CSs. The developed method is tested by simulation on a 33-IEEE bus. Furthermore, after integrating renewable energy sources at the CSs, 10.55% energy loss is reduced and also improved voltage profile of the proposed system.