Research On The Layout Optimization Of Charging Station Based On Traffic Flow Assignment

The optimization of charging station layout is a complex problem which is related to user demand,economic factors,transportation,power grids and urban planning.The traditional method mainly emphasized the importance of the charging demand for charging station siting,and attaches great importance to the distance and flow between the demand point and supply point.Therefore,the traffic factors are less considered,and the treatment method is less practical.In this dissertation,the existing theories and methods of charging station location are reviewed,and their advantages and disadvantages are pointed out in order to explore the role of traffic flow distribution in the planning of charging stations.An optimal layout model of charging stations is established,which is more close to the actual road network.And the interaction between the choice behavior of two kinds of vehicle users,the traffic network operation status and the layout optimization of charging stations is analyzed.The research content is mainly composed of the following parts:First of all,this paper summarizes the problems of charging station layout optimization,traffic flow assignment,travel behavior based on cumulative prospect theory and related models and Algorithms,and the influence factors of electric vehicle charging station layout are analyzed.The limitation and reference of existing research are pointed out,and the content frame and technical route are put forward.By analyzing the characteristic of traffic flow distribution model and the bounded rationality,the suitability of stochastic user equilibrium model and prospect theory in the charging station layout is illustrated.Secondly,taking into account the travel characteristics of small cities,consider the travel time and energy consumption of fuel vehicle,and the travel time,charging time and waiting time of electric vehicles(EVs)to build the impedance function of fuel cars and electric cars respectively.Meanwhile,a charging station planning model based on the stochastic user equilibrium principle is established by designing the coding mode of charging station layout and the behavior rules of traveler’s choice.Through the balance of system optimization and indivual optimization,the optimal charging station layout can be found,which can meet the maximum efficiency of the overall road network and maximize the travel utility of the travelers.Using the stochastic user equilibrium model to obtain the traffic network operation characteristics under the hybrid condition of electric vehicle and fuel vehicle,and The distribution of the optimal charging station is selected by genetic algorithm.Thirdly,based on the characteristics of travel in medium-sized cities,the bi-level programming model of charging station based on dynamic traffic flow assignment is constructed by considering the choice of traveler route and departure time.Taking the early peak as the research object,the utility function of the departure time selection of the traveler was designed,and a stochastic dynamic user equilibrium model was established based on the expected utility theory and the algorithm was designed.The results show that the proposed model and the algorithm are effective and feasible.The optimal charging station distribution scheme of different electric vehicles in the road network is obtained.Furthermore,the relationship between the dynamic path selection behavior and time-varying traffic flow and the complex characteristics of traffic network operation are analyzed.Finally,combining the travel characteristics of large cities,the finite rational thought is introduced into the stochastic dynamic traffic flow distribution model.Based on the travel time budget,set the reference point of starting time and travel path selection.,and use the prospect theory to analyze traveler’s departure time and travel choice behavior.Then,based on the cumulative prospect theory and dynamic user equilibrium,the bi-level programming model of charging stations and its algorithm are established.Through the example simulation verified the validity and practicability of the proposed model and algorithm,the reference point dependence effect of the model is studied,and the optimal charging station distribution scheme of different electric vehicles in the road network is obtained.Also,the characteristics of route choice and departure time choice behavior are analyzed.In this paper,from the perspective of traffic flow distribution,using behavioral science theory to analyze the mechanism of travel behavior,analysis and modeling of travel behavior and charging station layout based on reasonable assumptions.Expand the train of thought for studying the traditional charging station layout planning problem,and the relevant models,algorithms and conclusions can be effective for traffic management department and the charging station planning department,which provide new theoretical basis for the travel beheviors and the charging station layout scheme.