Study On Optimized Location Selection Of Charge And Replacement Stations For Different Electric Vehicle Users

China’s electric vehicle has ushered in a period of vigorous development,but behind its rapid development,the charging process of large-scale electric vehicles will bring a lot of tests to the power grid,which will also be a problem restricting the development of this emerging industry.Therefore,it is imminent to study the impact of electric vehicle charging on the power grid and propose corresponding solutions.As the vehicle battery energy technology is not yet fully mature,the electric vehicle has a limited range and a short service life.The key to the further promotion of electric vehicles is the construction of charging facilities,and the planning and design of charging stations not only determines the convenience of travel users,but also affects the node voltage and network loss of the power grid.Therefore,in order to further increase the scale of electric vehicles,the location and capacity of charging stations is the key.This paper first classifies different types of electric vehicles,and focuses on the charging behavior of two types of electric vehicles,private cars and shared cars.Using Monte Carlo simulation analysis to obtain the charging load curves of two types of cars,and briefly analyzes the Influence of daily load curve.To this effect,this paper proposes a new method of charging and replacing power stations,supplementing the energy of the future unified private car and shared car battery,with the site construction capacity and the minimum peak and valley difference of the daily load curve as the objective function.The above simulation results use MGPSO for example analysis.Comparing charging,changing stations and traditional charging stations,the maximum charging load and corresponding time of the two types of electric vehicles are obtained.At the same time,the optimal ratio of the charging pile and the switching device is analyzed.According to the impact of electric vehicle access to the distribution network at different locations on the power grid and the convenience of users,this paper uses two types of private and shared electric vehicles to capture users the most,minimize the network loss of the distribution network system,and The goal is to minimize the voltage deviation of the distribution network,and establish a multi-objective model for optimal planning of electric vehicle charging and replacement stations.According to the maximum charging load ratios of traditional charging stations,hybrid charging stations,and switching stations analyzed in Chapter3,this multi-objective model was solved by using an improved non-dominated ranking genetic algorithm(NSGA-II)with an elite strategy,respectively.pareto optimal solution set.Finally,the feasibility of this model and algorithm is verified with a25-node transportation network diagram and an IEEE-33-node power distribution system,and the advantages of hybrid charging and switching stations are compared and analyzed.