Analysis Of Site Selection And Capacity Determination Of Electric Vehicle Charging Stations Considering Charging Piles With Different Capacities

In recent years,with the rapid development of economy and society,the amount of carbon dioxide emitted by human production is increasing,resulting in a series of serious ecological,environmental and climate problems.At the same time,global fossil energy reserves are drying up,and the problem of low energy efficiency remains serious.Actively developing and popularizing electric vehicles can accelerate fuel substitution and reduce exhaust emissions,which is of great significance for ensuring energy security,promoting energy conservation and emission reduction,and preventing air pollution.However,at the current stage,there are still uncoordinated and unbalanced problems in the development of electric vehicles and charging infrastructure.The planning and distribution theory of charging infrastructure still needs to be further improved and implemented.In this paper,an electric vehicle charging station planning research method with different capacity charging piles is proposed for the case of charging stations with different capacity charging piles.The main contents are as follows:In the process of charging demand forecasting,when the target area contains different capacity charging piles,the selection behavior and travel characteristics of electric vehicle users are less considered.So a charging demand forecasting method for electric vehicles with different capacity charging piles is proposed.Firstly,the behavior characteristics of electric vehicle users in the target area are analyzed,such as the state of charge at the initial charging time,the duration of continuous parking,the initial charging time and the charging characteristics.Secondly,according to the behavior characteristics of electric vehicles and the capacity of charging piles to be planned,the probability of selecting different capacity charging piles for charging when electric vehicles generate charging demand is calculated.Finally,the Monte Carlo method is used to predict the spatial and temporal distribution of electric vehicle charging demand,the average charging rate of different capacity charging piles and the average parking time of electric vehicle users when choosing different capacity charging piles.In the planning process of electric vehicle charging stations with different capacity charging piles in the station,it is difficult to determine the optimal number of charging stations and charging piles,the location and capacity of charging stations.An optimization method for the location and capacity of electric vehicle charging stations with different capacity charging piles is proposed under the condition that the alternative site is established.Firstly,the spatial and temporal distribution of electric vehicle charging demand,the average charging rate of different capacity charging piles and the average parking time prediction results of electric vehicle users when choosing different capacity charging piles are sorted out and analyzed.Then,a bi-level programming model for the location and sizing of charging stations is established.The upper model optimizes the location of charging stations with the goal of minimizing the sum of the annual total cost of charging stations and the annual loss cost of electric vehicle users.The lower model divides the service scope of each charging station with the goal of minimizing the travel distance of electric vehicle users during the charging process,and returns the charging load within the service scope of each charging station to the upper model,and combines the prediction results to optimize the sizing.Finally,the bi-level programming model is solved by combining the simulated annealing algorithm and the Dijkstra algorithm to verify the safety and stability of the grid-connected electric vehicle charging station.The example analysis results verify the correctness and effectiveness of the proposed method.