Robustness analysis on electric vehicle energy distribution networks

Electric Vehicles (EVs) can be used as a medium between the battery energy stored in EVs and the power grid through Vehicle-to-Grid (V2G). Combined with the characteristic that vehicles are mobile, EVs can provide a natural energy transmission system called EV energy network. This paper analyzes the features of energy routes in the EV energy network and studies the impact of traffic congestion on the EV energy distribution networks. Based on the characteristics of traffic congestion in the urban, sporadic congestion algorithm and recurring congestion algorithm are presented to simulate in a model of the EV energy network. Additionally, energy degree (ED) and energy source available rate (ESAR) are defined to reflect the current state of the EV energy network. The real-world transporting data in Manhattan and Pioneer Valley Transit Authority (PVTA) is utilized to analyze the robustness of the proposed EV energy network.