| In recent years,as the penetration of electric vehicles has continued to rise,there has been an unexpected surge in demand for charging.The sharp increase in the number of electric vehicles on urban roads and the insufficient planning of charging facilities have led to an imbalance between the supply and demand of charging stations.Shared charging piles are an effective way to solve the difficulty of charging.However,when there is disorderly charging of large-scale electric vehicles,it will have an inevitable impact on the power grid,and will also reduce the travel satisfaction of electric vehicle users and the service efficiency of charging stations.In order to effectively solve the above problems,for the charging distribution problem of large-scale electric vehicles and multiple charging stations,the available shared resources are integrated,and the management mode based on fog server and roadside cloud is applied to the charging guidance system to achieve low cost and high cost.Efficient charge distribution.It also deeply analyzes the interests of distribution system operators,charging station suppliers and electric vehicle users.This paper aims at three goals:(1)Balance the power load among multiple charging stations;(2)Reduce charging(3)Improve the charging satisfaction of electric vehicle users.Two allocation algorithms are designed:(1)Under the premise of considering the interests of electric vehicle users and charging station operators,the matching game algorithm is used to obtain stable bilateral matching that maximizes the charging satisfaction of electric vehicle users.Stable matching means that both parties cannot find other matching partners.The satisfaction obtained by both sides after rematching is higher than the existing respective satisfaction.Through the analysis of an example,it is proved that the charging distribution based on the matching game algorithm is better than the disordered charging in improving the charging satisfaction of electric vehicle users and reducing the queuing time of the charging station,and a stable bilateral method that minimizes the queuing time of the charging station is obtained.match.However,the matching game algorithm only considers the interests of both parties,and cannot optimize dual objectives with high intensity at the same time,nor can it effectively solve multi-objective problems.(2)In order to consider the interests of multiple parties,the optimization model that takes into account the interests of multiple parties is constructed as a convex optimization problem,and ADMM is used for distributed charging distribution.The simulation results show that the distributed optimization model based on ADMM can meet the interests of multiple parties compared with the matching game algorithm and the greedy algorithm.The ADMM distributed optimization model is analyzed and verified from the aspects of privacy protection,computing time and data transfer volume.It is more suitable for largescale shared charging matching than the centralized optimization model,and the necessity of considering the interests of multiple parties and the influence of the weight coefficient on the calculation results are analyzed and verified.Finally,based on the existing research,the future development direction of the optimization of transportation network,power grid,electric vehicle and charging station is prospected.This paper has 33 figures,12 tables and 63 references. |
