Assessing the resilience of an electrified transportation network considering failures of charging stations

Many nations are trying to accelerate the deployment of electric vehicles (EVs) on their road networks, in an effort to relieve greenhouse gas emission and shortage of fossil fuels. The number of EVs and charging facilities is expected to increase significantly in the near future, making the existing transportation systems increasingly coupled with the electrical power systems. These growing couplings may bring new stresses and risks to both systems. However, the failure of electric vehicles charging facilities have not been considered. In this context, this paper investigates the resilience of an electrified transportation network (ETN) under potential failures of its supporting charging facilities. Specifically, a two-staged system optimal dynamic traffic assignment model is proposed to describe characteristics of an ETN such as the configuration of charging stations, travel ranges of EVs and the state of charge of EVs. This model is based on the cell transmission model (CTM) and two metrics are presented to quantify the ETN performance under the scenario of charging facility failures. A numerical example is studied to demonstrate the effectiveness of the proposed ETN resilience analysis framework.