A Research Of Differential Pricing Strategy Based On Charging Service Network

With the development of the electric vehicle industry,the charging service network that provides charging service for electric vehicles arises at the historic moment.As the operator of the charging service network,the disordered charging behavior of the large scale electric vehicle users will lead to the emergence of the charging queuing phenomenon,the high loss rate of charging demand and the low profit of the operators.In this thesis,based on the charging service network in the urban area,and relying on the national natural fund project of "electric vehicle charging scheduling and information processing system based on smart grid",the structure,communication protocol and charging process of the charging service network are designed,and the peak displacement under the condition of non-competitive market is further designed on this basis.The peak displacement pricing strategy is used to guide the orderly charging of electric vehicle users,improve the time and space distribution of charging load,and reduce the loss rate of charging demand.In order to improve the income demand of the charging service network operators,the revenue management model which has achieved important achievements in the aviation and hotel industry is introduced,and the low loss rate and high income are taken into account to achieve a win-win situation between the scheduling target and the economic target.The main work of the thesis is described as follows:(1)a charging service network framework is designed for charging station operators to facilitate unified management of charging stations in the urban area.By designing the communication protocol and interactive process of the charging service network,the network,communication,control and scheduling of the charging equipment are realized,which provides the basis for the theoretical research of this thesis.On this basis,the key performance indicators of the charging service network are analyzed.(2)in view of the phenomenon that the charging load fluctuation caused by the large-scale user disordered charging and the high loss rate of charging demand,the price lever is used to guide users to the low price,low utilization rate time slot and area charging,and more charging interfaces are left to the demand emergency users to reduce the loss of charging demand and the occurrence of queuing.The technical route is: using the Monte Carlo method to predict the charging load distribution,modeling the charging behavior of the electric vehicle users by the normal distribution,in order to represent the probability distribution of the charging demand and the influence of the price lever of the charging decision.Combined with the charging network of smart vehicle network,a peak displacement pricing strategy based on the minimum loss rate of charging demand is designed.The peak displacement pricing strategy uses enumeration or recursive method to obtain feasible price subset.Finally,an example is given to illustrate the effect of the peak displacement pricing strategy on the peak of charging load and the reduction of the loss rate of charging demand.(3)in order to improve the income of the charging service network,on the basis of low loss rate of charging demand,this thesis chooses the best pricing strategy from the lowest loss rate,and choose the best pricing strategy as the result of the algorithm,that is to realize the win-win of the minimum loss target of the charging service network and the highest profit target.In view of the high fixed cost characteristics of charging service network,the revenue management model is introduced to make dynamic pricing,and at the expense of a certain loss rate,the maximum income is obtained.