| To cope with the shortage of fossil energy and global environmental climate change,new energy power generation is being vigorously developed under the policy of "carbon peaking and carbon neutral",and electric vehicles are also becoming popular.However,due to the random and fluctuating nature of new energy power generation,large-scale grid-connected power generation will pose a huge challenge to the safety operation of the power grid.As a random load,the disorderly charging of a large number of electric vehicles will add peaks to the grid load.Based on the above background,this paper proposes an optimal scheduling strategy for urban transportation network and urban distribution network in terms of promoting new energy consumption and optimal scheduling of electric vehicle charging.Firstly,we introduce the model and theory from the perspective of power grid,traffic network and electric vehicles.The mathematical model of new energy generation principle and power output is introduced,and the reasons for its randomness and volatility and its impact on the grid operation are analyzed;then the mathematical model of electric vehicle charging and the travel characteristics of users are analyzed;the traffic flow distribution model and the optimal tide model are introduced from the spatial dimension,and the traffic distribution mechanism of electric vehicles in the coupled system of grid and traffic network is analyzed.Then,according to the battery characteristics,charging mode and user travel characteristics of EVs,the calculation model of EV disorderly charging load is constructed with the help of Monte Carlo method,and the simulation of EV disorderly charging behavior is simulated to analyze the impact of EV disorderly charging.Then,the charging behavior of EVs is guided by the time-sharing tariff mechanism in demand response,and the multi-objective EV orderly charging model based on time-sharing tariff is proposed by considering new energy consumption,grid operation security and user charging cost when formulating the optimal dispatching strategy,and the charging time of EVs is optimized by using particle swarm algorithm,and the effect of different user responsiveness on the optimal dispatching is compared by arithmetic examples.The effect of different user response on the optimal scheduling results is compared by means of examples.Finally,a two-layer optimization model of mixed traffic distribution based on nodal marginal tariff is established to analyze the coordinated and optimized operation strategy of the coupled traffic network and distribution grid system from the system level.The upper model calculates the nodal marginal tariff as the electric vehicle charging tariff by establishing the optimal tidal model with the objective of minimizing the generation cost of the unit;the lower model establishes a hybrid traffic allocation model based on user equilibrium by considering the intersection delay with the objective of minimizing the travel cost of users based on the basic theory of traffic network.By iteratively solving the two-layer optimization model,the selection of user travel and charging paths is reasonably guided so that the system reaches equilibrium.Finally,the validity of the established model is verified by arithmetic examples. |
