融合路网-电网信息的电动汽车充放电行为引导与调控策略OA北大核心CSTPCD

In the context of the rapid development of smart city concepts,the unguided traveling and disorderly charging and discharging behaviors of electric vehicles(EVs)are affecting the safe and efficient operation of the power-transportation coupling network.To address this problem,this paper proposes a two-phase optimal guidance and regulation strategy for charging and discharging behaviors of EVs based on the fusion of road network and power grid information.Firstly,the interactive factors and modes of the power-transportation coupling network are analyzed,and the guidance and regulation architecture of EV charging and discharging travel path are proposed.Secondly,a dynamic updating strategy for the electricity price of EV charging and discharging travel decision is proposed based on the fusion of road network and power grid information,and an optimization model for EV charging and discharging travel path decision-making is established considering the user time-economic cost.Then,the EV charging and discharging regulation model is established considering the interests of multiple stakeholders.Finally,the simulation results show that the proposed strategy can comprehensively consider the real-time operation state of the road network and the power grid,fully tap into the adjustable potential in the process of path guidance and charging and discharging regulation of EVs,and realize the coordinated operation of the system and multi-party win-win.