| dc.description.abstract | This study presents an optimization approach for the siting of electric vehicle charging stations, integrating management strategies, charging scenarios, and user behavioral characteristics. A two-stage constant-current/constant-voltage charging protocol is implemented, and charging demand is predicted using a Monte Carlo simulation framework. Considering various charger capacities, site layouts, and the interests of both investors and users, a joint location–capacity optimization model is developed. The model is solved using a particle swarm optimization algorithm, enabling optimal allocation of station numbers, locations, and capacity configurations. The findings provide a theoretical foundation for the scientific planning and siting of urban electric vehicle charging infrastructure. | ru |
