Research On The Interactive Strategy Of Power Grid With Large-scale Electric Vehicles And Coordinated Control Platform Development

At present,with the rapid development of electric vehicle technology,more and more electric vehicles are connected to the grid,which has a certain impact on the stable operation of the grid,especially the grid load caused by the large-scale electric vehicle random charge and discharge The problem of intensified fluctuations has a huge impact on the stable and reliable power supply of the distribution network.The disordered charging load causes the system fluctuations to increase and the peak-to-valley difference becomes larger,which seriously hinders the further development of the distribution network and also causes residential As the quality of electricity declines,it is of great significance to study the interactive strategy of electric vehicles connected to the grid.This paper studies the coordinated and interactive scheduling strategy of electric vehicles and power grids by analyzing the basic charging and discharging principles of electric vehicles and load forecasting,and develops a set of auxiliary control systems.The work of the thesis mainly includes:1.Conduct large-scale electric vehicle charging and discharging grid connection analysis.First,analyze the charge and discharge load characteristics of large-scale electric vehicles,analyze the load characteristics of electric vehicles under different battery characteristics,initial SOC,and charging methods;then analyze the power flow calculation problem of electric vehicles after grid connection,and finally analyze the electric power based on actual simulation After the car is connected to the grid,it will affect the load of the grid.2.Carry out large-scale electric vehicle charge and discharge power prediction.Establish a multi-time scale electric vehicle charge and discharge prediction model,mainly based on battery characteristics,charging methods,etc.The improved bee colony algorithm is used to predict the charge and discharge of electric vehicles.Then,based on the day type and environmental factors,an improved gray prediction algorithm is used to make rolling corrections.The accuracy of electric vehicle charging load prediction improves the efficiency of electric vehicle load prediction.3.Based on the analysis of the orderly charging of different types of electric vehicles,an interactive scheduling strategy between electric vehicles and the power grid is launched.First of all,it proposes the adoption of day-to-day,real-time rolling and time-based multi-period electric vehicle and grid interaction strategies;then on the basis of the requirements of electric vehicle charging load mentioned above,an electric vehicle orderly charge and discharge optimization control strategy study is carried out to increase the participation of electric vehicles The ability of power grid dispatching improves the economics and reliability of power grid operation.4.According to the electric vehicle charging load forecasting and participating in the grid dispatching strategy,the development of the electric vehicle and the grid interactive dispatching auxiliary control system is carried out,and the system design is introduced from the overall design,communication design,database design and interface design.The auxiliary control system of three levels of vehicle charging and discharging management,partition optimization management and intelligent allocation management realizes the optimization of the interaction between electric vehicles and the power grid,and tests the engineering,compatibility and performance of the system.The test shows that the system can be used for electric vehicles.Management personnel obtain relevant information to provide good technical support and guarantee.