Analysis of Electric Vehicle Charging Demand Based on Power Distribution Grid-Transportation Network

With the increasingly serious global energy crisis, electric vehicles (EVs) have attracted widespread attention due to their electric energy-driven operation and no emission of harmful gases. Given that electric vehicles, as a new type of transportation, have relatively scarce driving and charging data, a method for generating electric vehicle driving and charging data based on the coupling of transportation networks and electrical networks is proposed. First, in view of the uncertainty in the travel behavior of EVs, the graph theory and Monte Carlo method are proposed to simulate the driving and charging data of EVs. Secondly, from the perspective of EVs, a data-driven modeling method for the driving and charging characteristics of EVs is proposed to describe the driving and charging characteristics of EVs from multiple dimensions. Finally, taking the coupled network of the distribution network and transportation network in a certain city as an example, the driving and charging data of EVs are generated.