Study On Regulation Capability Optimization Of Multi-energy Microgrid In New Energy Vehicle Charging Station

In recent years,with the continuous increase in the number of new energy vehicles,the development of charging stations as an important infrastructure for new energy vehicles has been seriously inadequate.At present,most expressway service areas have invested a large number of charging stations,and there are many problems: long charging time,electric vehicles only obtain electricity from the grid,which increases the burden on the grid and the impact of the grid.However,the charging station failed to consider the demand for hydrogen charging of hydrogen fuel vehicles.Therefore,thesis aims at the problem of charging stations in the service area and proposes the concept of new energy vehicle charging stations containing wind,light,hydrogen,gas,heat,and storage.Through the optimized operation of various energy sources in the charging station,it can meet the needs of electricity-the charging of hydrogen vehicles and the demand for energy supply in the service area have promoted the development of new energy vehicles,realizing efficient charging of electric-hydrogen vehicles.Through the energy conversion between new energy vehicle charging stations and the optimized operation of new energy vehicle charging.The specific research content is as follows:First,thesis analyze the overall framework and working principle of the new energy vehicle charging station.For the establishment of mathematical models of wind power generation system,electric hydrogen storage system,P2 G system gas storage system,electric heat storage system in the charging station of the expressway service area;Multiple energy sources in the multi-energy micro-grid of the charging station mutual conversion,the establishment of a comprehensive energy flow model for new energy vehicle charging stations,and the coordinated operation of multiple energy sources.Secondly,the research on the charging demand model of new energy vehicles.Fit the distribution curve of the number of new energy vehicles according to the statistical data of the traffic flow into the service area;Establish the charging probability model of the electrichydrogen vehicles respectively,and combine the probability distribution of the vehicle flow at the charging station and the charging of the electric-hydrogen vehicles the number of cars per period is shown.The Monte Carlo sampling method is used to predict the load of a charging station on a northwest expressway.Through power accumulation and simulation,the load curve of electric-hydrogen vehicles in two scenarios,working days and holidays,is used for the fourth chapter of multi-energy microgrid charging.The optimized operation of the power station’s regulating capacity provides basic data on the electric-hydrogen vehicle load.Finally,research on the optimization of the multi-energy micro-grid regulation capability of the charging station.With the goal of minimizing the operating cost of new energy vehicle charging stations and maximizing the power grid regulation capacity,the optimal operation model of the charging station’s regulating capacity is established;According to the load forecast results of new energy vehicle charging on working days and holidays in the previous chapter,the new The load of energy vehicles and the load of a typical day are accumulated;Through the optimized operation of the charging station on weekdays and holidays,the improved particle swarm algorithm is used to solve the optimal cost of the multi-energy charging station,and the economy of the charging station is realized.Maximize the power grid regulation capability and improve the safety and flexibility of multi-energy charging stations.