Multi-rate co-optimization of electric vehicle flexibility considering real-time traffic flow
As the coupling between the traffic network and the power grid becomes tighter,the potential of electric vehicles(EVs)to participate in scheduling as a flexible resource becomes more obvious.Aiming at the current situation that the real-time traffic flow is not considered enough in the coupling network of traf-fic network and power grid,a multi-rate co-optimization(MRCO)of EV flexibility considering real-time traf-fic flow is proposed.A dynamic traffic model considering traffic congestion is constructed,the relationship between real-time traffic flow and equivalent road adjacency matrix is established based on the speed-flow practical model,and then an equivalent optimal path search algorithm considering congestion is proposed.A real-time flexibility scheduling model of EVs is established with the power grid side as the main body.Aiming at the different time scales of EV scheduling between the traffic network and the power grid,a real-time rolling optimization algorithm based on MRCO is proposed to adapt to the real-time variable requirements of traffic conditions.Based on a regional road network and IEEE 33-bus system,the effective-ness of the proposed model is verified.The results show that the proposed strategy can improve EV flexi-bility and promote the consumption of renewable energy while meeting the travel needs of users.
electric vehiclesflexibilitytraffic congestionreal-time schedulingmulti-rate co-optimization
万方数据
维普
