Research On The Planning Of Electric Vehicle Charging Station Access To Distribution Network

In order to cope with the environmental and ecological problems brought about by traditional energy consumption with fossil energy as the main body,replacing traditional fuel vehicles with electric vehicles has become a development trend.The development of the electric vehicle industry is premised on the development of its supporting charging facilities.In order to promote the rapid and stable growth of the number of electric vehicles,the planning of the electric vehicle charging network as its power supply has become a hot topic at home and abroad.Combined with the existing distribution grid,the layout planning and research of electric vehicle charging stations can prevent the waste of resources caused by blind reconstruction and expansion.This paper takes the planning of electric vehicle charging station as the research object,and studies the spatial distribution prediction of electric vehicle charging load,the solution of user’s mileage anxiety level,and the location planning of charging station.The main research contents are as follows:Firstly,Predicted the spatial distribution of electric vehicle charging loads.By studying the driving characteristics of electric vehicles,the influence of various factors on the spatial distribution of charging load,such as the type of electric vehicle,the starting time of the mileage of the electric vehicle,and the initial state of charge of the battery of the electric vehicle,is analyzed.According to the topology of the road network and the road speed-flow model,the Floyd algorithm is used to solve the shortest path set and the power consumption per unit mileage at any time.Based on the above analysis data,a prediction model for the spatial distribution of electric vehicle charging load is established.Taking the planning area of some arterial roads in the urban area of a city as an example,the spatial distribution of the charging load in the area is obtained by using the Monte Carlo simulation method,and the proposed model for predicting the spatial distribution of electric vehicle charging load is verified.Then,when studying the mileage anxiety problem of electric vehicle users during driving,the main reasons and performance characteristics of users’ mileage anxiety,as well as the influence of factors such as remaining state of charge and vehicle mileage on the level of mileage anxiety were analyzed,and the planning constraints of charging stations considering range anxiety are derived.According to the solution method of user’s mileage anxiety based on driving mileage,and consider the possibility of users supplementing electric energy while driving,the functional form of the accumulated range anxiety based on the user’s remaining range during driving is derived.Finally,based on the research results of the spatial distribution of charging loads and the anxiety of users’ accumulated mileage during driving,taking into account various influencing factors such as transportation network,power distribution system and various costs,a multiobjective programming model of electric vehicle charging station is established,which takes charging network service capacity,social comprehensive cost of charging station,network loss of distribution system and cumulative mileage anxiety level as objective functions.Constraints include: power flow constraints,line power constraints,charging demand constraints,constraints on the number of charging stations,and constraints considering user mileage anxiety,etc.The model is solved by an improved differential evolution algorithm.Taking the planning and construction of a charging station in a certain area in China as an example,the effectiveness of the planning model and algorithm is verified.In addition,the influence of the electric vehicle charging load on the voltage level of the distribution network nodes is analyzed.