This paper proposes a stochastic data-driven model for uncontrolled charging that accurately captures diversity in individual consumer behaviour. is important because understanding the between consumers necessary to estimate number of electric vehicles’ distribution network could support without reinforcements. The combines readily available travel survey data with high resolution from an vehic...

The Vehicle Routing Problem (VRP) has existed as long as a distributor has needed to deliver items. As such, the VRP has been solved with many different methods, including agent architecture and ant colony modeling. However, these methods have generally been set up for an established organization that has a specific number of vehicles with only a few unique capacities. This project aims to crea...

At present, the large-scale access to electric vehicles (EVs) is exerting considerable pressure on distribution network. Hence, it particularly important analyze capacity of network accommodate EVs. To this end, we propose a method for analyzing EV by considering composition conventional load. First, analysis and pretreatment methods architecture load are proposed. Second, charging behavior an ...