Research On Location And Capacity Optimization Of Electric Vehicle Charging Stations In Area

With the continuous development of society and economy,the problem of energy shortage and environmental degradation has become increasingly prominent,and people have to find new clean fuels that can meet human development needs.At this time,with the development and promotion of electric vehicle technology,electric vehicles have been favored by a large number of users.The rapid development of electric vehicles cannot be separated from the development of its supporting facilities,and the construction and development of its supporting facilities has also received increasing attention..At present,many countries are planning and constructing charging stations How to maximize the benefits of charging stations and electric vehicle users under the premise of meeting the user's charging needs in the planning area has been a hot topic for many scholars in recent yearsThis thesis first analyzes the planning of electric and electric vehicle charging stations in urban areas,proposes a charging station location model that targets the user's distance loss cost,and uses an improved mutant particle swarm algorithm to solve the model.Considering the influence of road network structure,daily vehicle flow information and other factors,the best charging station location is obtained with the minimum cost of user distance loss.The simulation experimental data show that the proposed charging station location model has certain practicability and feasibility.At the same time,experiments show that the improved mutant particle swarm algorithm is superior to the standard particle swarm algorithm and catfish particle swarm algorithm in the optimization results.Secondly,according to the obtained construction location of the charging station,the number of charging piles in each station is optimized.Based on the queuing theory,this thesis proposes a charging capacity optimization model based on queuing theory.This model considers the cost of queuing time and charging service when the user enters the charging station,and uses a marginal analysis method to solve the constant capacity model.Finally,taking into account the interests of both the charging station operator and the user,the annual total investment cost conversion model for charging station construction in the planning area is used to calculate the total annual investment cost of the charging station operator and the total annual charging cost of the user,so that the overall total cost of the society is minimal Therefore,the location of the charging station and the fixed capacity scheme are finally determinedFinally,in order to verify that the charging station location and capacity fixing scheme proposed in this thesis can adapt to different planning areas,an actual road network in a certain urban area of Jiangsu was used.Simulation experiments show that the proposed charging station location model and charging queue optimization capacity capacity model,Can minimize the cost of the user's distance loss,the number of optimized charging piles can meet the charging needs of users,at the same time can improve the utilization rate of charging piles,reduce the cost of queue time for users.