An emergent EV dispatching method to enhance the resilience of power-transportation coupling systems

With the increasing deployment of electric vehicles, transportation networks have been more closely coupled with power networks via charging stations. The functionality of the coupled system can be significantly damaged by extreme events, like man-made attacks and natural disasters. In this paper, we propose a metric to quantify network resilience and a method to dispatch electric vehicles to suitable charging stations in power grid-coupled transportation networks after being disrupted by extreme events. The emergent dispatching problem is expressed by a linear programming model which is computationally tractable. The optimization variables are binary and represent the charging stations selected for electric vehicles. The optimization objective is to minimize the sum of queue time and travel time of electric vehicles. Simulation results conducted on a synthesized power-transportation coupling system that is composed by a modified real-world transportation network and the IEEE 39 Bus test case demonstrate the efficacy of the proposed method in enhancing network resilience. Our work contributes to the advancement of more resilient modern transportation networks under extreme events.