Location And Capacity Determination Of Taian Electric Vehicle Fast Charging Station Based On Improved Firefly Algorithm

With the development of battery technology and the reduction of the cost of electric vehicle,the electric vehicle industry develops rapidly.The construction of urban public electric vehicle charging station plays a great role in promoting the development of electric vehicle industry.In order to improve the user’s convenience and the utilization rate of charging piles,and to save the investment and construction cost of charging stations,scientific and reasonable planning is needed The number of electric vehicles in Tai’an City is increasing year by year,but the construction of charging station is relatively lagging behind.Especially,it is difficult to meet the user’s temporary demand for fast charging.In this thesis,the fast charging station planning of electric vehicles in Tai’an City is studied in order to solve the problem of location and capacity of fast charging stations in the city.Based on the statistical data of user travel chain,the time-space characteristics of electric vehicle driving are analyzed by using Markov state transition probability matrix.The three parameter Weibull function is used to fit the end time of electric vehicle travel.Then,the normal distribution probability function is used to estimate the travel distance.The fuzzy mathematical method is used to quantify the impact of road condition and temperature on power consumption.Finally,the power consumption per kilometer of electric vehicle is calculated by simulation.According to the end time of journey,driving distance,power consumption per kilometer and the amount of fast charging is calculated by combining the charging frequency and charging time.Then,by using Markov state transition probability matrix,the fast charging load is distributed in the grid space of Tai’an City,the space-time characteristics of fast charging load are obtained,and the spatial distribution of fast charging load is drawn on the map of Tai’an City.Based on the grid spatial distribution results of fast charging load in Tai’an City,a charging station planning model is established with the objective function of minimizing the construction,operation and maintenance costs of fast charging stations and the total charging costs of users going to the charging stations.The number of charging stations,the number of charging motors,the distance between charging stations and the distance from the traffic intersection to the charging station are the constraints.The improved firefly algorithm is used to solve this problem.The location and capacity of fast charging station in Tai’an City are obtained.Let’s bear fruit.In this thesis,we improved the way of light intensity comparison,firefly position update,firefly moving step factor,and adopted Pareto dominant strategy to select the population with better solution.Finally,based on the relevant statistical data of electric vehicles in Tai’an City,the location and installation capacity of the fast charging station in Tai’an City are calculated.In this thesis,by using the biological characteristics of fireflies cluster,taking the cluster center as the construction site and the number of cluster fireflies as the installation capacity,the problem of location and capacity determination of fast substation in Tai’an City has been solved,which provides a reference for the planning of charging stations in other cities.