Flexibility Modeling And Optimal Dispatch Of Electric Vehicles In Microgrid

With the increase of the distributed generation penetration factor in the distribution network,the impact of its random,intermittent and the characteristics of the volatility on the economic operation and coordinated control of the distribution network can't be ignored.Microgrid is put forward to coordinate contradiction between the power grid and distributed generation.At the same time,the increasing electric vehicle charging load provides new dispatching resource for the control of power system.At present,there are lots of researches on the control of electric vehicle charging at home and abroad.However,the active participation of consumers is often ignored,and the scheduling resources cannot be fully utilized,and engineering applications are lacking.In this paper,the coordinated dispatching of electric vehicle charging is taken as the entry point to discuss the response market mechanism and the grid peaking control model with flexible load participation.On the basis of making full use of the output of renewable energy sources,the time-sharing electricity price leverage mechanism is established to realize the economic operation of the microgrid through the coordinated scheduling of electric vehicles and energy storage systems.The main research contents of this paper are as follows:First of all,the research on microgrid optimization scheduling model at home and abroad is introduced.The mathematical model of renewable energy sources in the microgrid is given,including wind power,photovoltaic power and storage.The behavioral model of electric vehicle is constructed as the basis of electric vehicle participation in load regulation.Based on the statistical analysis of the characteristics of the consumer whose travel behavior,the electric vehicle travels leave grid,return grid and charging demand.Secondly,considering the operation and maintenance cost of the energy storage system in the established objective function of the microgrid economic operation,the cycle-life loss factor is calculated by the throughput method.The load regulation requirements of the microgrid are analyzed.The uncertainty model of the electric vehicle travel behavior is introduced.The fault-tolerant factor is added to establish the interval solution model,which improves the fault tolerance margin of the data group and enhances the reliability and comprehensiveness of the electric vehicle fitting data.According to the interval characteristics of electric vehicle charging demand in microgrid,the particle swarm optimization algorithm is used to obtain the demand dispatching interval of microgrid,which is the expected supply interval set by the dispatching department.This interval has important reference significance for the formulation of the dispatching plan.Finally,the demand side load is further adjusted according to the expected supply curve prepared by the dispatching department.Aiming at the characteristics of multivariate,multi-constraint,multi-dimensional and nonlinear for optimal scheduling problem,the particle swarm optimization algorithm is used to solve the microgrid model given by the dispatching department whose daily dispatching command,and the charging control strategy of electric vehicle is discussed.According to the uncertainty of electric vehicle travel,the electric vehicle time-sharing charging control framework is established.Based on the establishment of the electricity market model,the demand side response transaction mode of electric vehicle charging is analyzed.Based on the economic operation of the power grid,a collaborative scheduling method for electric vehicles and energy storage units is proposed.The calculation of the user power consumption peak in the microgrid is obtained.During the period and the shortage of electric vehicles,the electric vehicle charging individualization scheme shows that the scheme can meet the normal driving requirements of the electric vehicle on the second day and verify the rationality and feasibility of the method.