Carbon-Sink Assessment Approach for Electrified Transportation by Considering the Coordinated Optimal “Power-Traffic” Flow

To face this “trade-off’ brought by electrified transportation, a carbon-sink assessment approach is proposed by considering the coordinated optimal “power-traffic” flow. Firstly, the multi-agent-based micro-traffic assignment model is modified with the features of multi-type vehicles electric vehicles (EVs) and gasoline vehicles (GVs), which makes it feasible to count their direct carbons. Then, a novel equivalent model for indirect carbon is proposed via the unscented Kalman filter. In this manner, the carbon increment caused by EV charging would be more intuitive. On top of this, a carbon-sink assessing model considering the optimal “power-traffic” flow is proposed, which aims to minimize the total carbon (direct and indirect parts) as well as traffic imbalance indexes. The proposed model could be efficiently solved by the Benders decomposition. As a consequence of case studies, the proposed approach could cut direct and indirect carbons simultaneously by balancing traffic flow and power flow. It is also concluded that our approach would strengthen the carbon sink of a coordinated “power-traffic” system.