Power and Traffic Nexus: From Perspective of Power Transmission Network and Electrified Highway Network

The increasing prevalence of electric vehicles (EVs) and emerging dynamic wireless charging techniques have increased the interdependence between the power and transportation systems. This article investigates a new nexus scenario-the electrified highway network (EHN) and power transmission network (PTN). The independent but interrelated operation of the two networks is analyzed. On the EHN side, a combined charging-driving navigation (CCDN) model, which rigorously considers EV travel speed and charge/discharge behaviors, is proposed and formulated as an irregular dynamic programming problem. A chronological search algorithm is designed to derive the optimal charging-driving decision sequences. The economic operation of the PTN is formulated as a direct current optimal power flow problem. Hourly location marginal prices (LMPs) and charge/discharge demands are exchanged between the two networks. The abovementioned LMP-based interaction forms a Nash-type game, in which both networks aim to minimize their own operation costs. A best-response decomposition algorithm combined with a continuous LMP method is developed to identify the equilibrium state. Numerical results demonstrate the effectiveness of the CCDN model in modeling EV charging-driving behaviors in the EHN. Moreover, the results show that, under certain conditions, mobility of EVs along the EHN can economically relieve the transmission congestion and reduce the operation costs of both networks.

Automated summary

The article investigates the interdependence between electrified highway network and power transmission network, proposing a new charging-driving navigation model to optimize EV behaviors. It also explores the economic operation of the two networks and the potential cost reduction through the exchange of location marginal prices and charge/discharge demands.