Carbon Sink Assessment Approach for Electrified Transportation by Considering Coordinated Optimal"Power-Traffic"Flow
To facilitate environmental issues,electrifying traffic system has become a worldwide consensus in the past decades.The massive use of electric vehicles(EVs),though helps much in cutting direct emissions from transportation,also leads to a higher power load and an extra carbon increment in source sides.In view of this"trade-off"brought by elec-trified transportation,a carbon sink assessment approach is proposed by considering the coordinated optimal"power-traf-fic"flow.First the multi-agent-based micro-traffic assignment model was modified with the features of multi-type vehicles(EVs and gasoline vehicles),which made it feasible to count their direct carbons.Then a novel equivalent model for indi-rect carbon was 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 was proposed,which aimed 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.In case studies,the proposed approach could cut direct and indirect carbons simultaneously by balancing traffic flow and power flow,and thus would be conducive to strengthen the carbon sink of a coordinated"power-traffic"system.
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