Размещение станций зарядки электромобилей на основе анализа спроса на зарядку

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.