Research On Charing And Discharging Strategy For Electrical Vehicles

The active control,management and response is put up to deal with the problem casued by distributed source connected in to grid.Beging regarded as both the battery and load,electrical vehicle has great potential of being controllable load.So,developing electrical vehicle is vital to solve the source crisis and environment pollution.The fundamental facility is a basic and guarantee for electrical vehicles’population and the government has given vigorous support to the development for charging station s and battery swapping stations.But,the operation of charging stations and battery swapping sations are not good as expected and the operation is needed to be improved.At the same time,the charing station and battery swapping station is seen as the accumulation places of electrical vehicles to have the chance to control the charging and discharging of electrical vehicles.The proper strategy of charging and discharging can response to the electrical demand and promote the income of charing stations and battery swapping stations from the ancillary services.So,it is meaningful to research on the charing and discharging strategy for electrical vehicles.Firstly,the spatio-temporal model of electrical vehicles is built,taking the time,distance,intial SOC into conderation.Combined with the traveling costoms of different types of EVs,the temporal model is built by Monte Carlo.Based on the travel chain,the travel route is simulated considering the starting point,destination and the amount of travel activities.The spatial model of electrical vehicles is built and prvide the basis for location selection of charging stations and battery swapping stations.Secondly,the operation modes of charging sation and battery swapping station are introduced seperately.The optimized objections are got according to the two basic charging facilities’ characteristics.In this section,the macroscopical planning scheme is optimized to get the optimal location and sizing,taking the shortest distance between the charing demand and charing stations as the target.Based on the Voronoi,the service scope is divided.Selecting the coverage and service rate as the evaluation indicators,the location,sizing and the amount of charing stations are optimized.Next,in this section,the scenario of swapping sation is built.The battery swapping has the right to control the charing and discharging scheme of batteries.Taking the economy of battery swapping station as the objective and the swapping income,ancillary service income,battery cost and charging cost as the main factors,the charging and discharging timeable is optimized.Lastly,the scenario of charging station is built.Different from the battery swapping station,the charging station only can change the drivers’ charging time by time of use policy because charging station can not control battery actively.So,taking the economy of charging station and satisfaction as the double objective,the PARETO algorithm is used to optimize the charging price of different periods a day.The charing and disacharing strategy of electrical vehicle is arranged orderly to fit with active response,reliving the pressure caused by electrical vehicles and new energy connected to grid.The stations’operaton is improved as well,promoting the electrical vehicles development and popularization.