Планирование станций зарядки электромобилей с учетом городского транспортного потока

Abstract

Paper examines the problem of planning electric vehicle charging stations in urban traffic conditions. A forecasting method based on a Markov model is proposed to overcome the limitations of traditional time series models when forecasting nonlinear and nonstationary data. The model divides electric vehicle operating states into four categories: driving, residential parking, commercial parking, and work zone parking, and simulates electric vehicle behavior at various time steps. Based on this, a mathematical model for planning charging stations is constructed, the objective function of which is to maximize economic profit. The model takes into account various types of costs, including capital investment, operational maintenance, failure losses, personnel costs, upgrade and restoration costs, costs associated with charging demand, and costs arising from the current traffic situation. Furthermore, a charging station revenue model is developed, incorporating charging fees, government subsidies, and associated service charges.