The increasing scale of electric vehicles(EVs)and their stochastic charging behavior have resulted in a growing coupling between the transportation network and the grid.Consequently,effective smart management in the E...The increasing scale of electric vehicles(EVs)and their stochastic charging behavior have resulted in a growing coupling between the transportation network and the grid.Consequently,effective smart management in the EVtransportation network-grid integration system has become paramount.This paper presents a comprehensive review of the current state of the art in system modeling and optimization approaches for the smart management of this coupled system.We begin by introducing the types of EVs that impact the transportation and grid systems through their charging behavior,along with an exploration of charging levels.Subsequently,we delve into a detailed discussion of the system model,encompassing EV charging load forecasting models and transportationgrid coupling models.Furthermore,optimization technologies are analyzed from the perspectives of system planning and EV charging scheduling.By thoroughly reviewing these key scientific issues,the latest theoretical techniques and application results are presented.Additionally,we address the challenges and provide future outlooks for research in modeling and optimization,aiming to offer insights and inspiration for the development and design of the EV-transportation network-grid integration system.展开更多
基金supported partly by the National Natural Science Foundation of China under No.91848111partly by the Natural Science Foundation of Anhui Province under Grant No.2208085UD12.
文摘The increasing scale of electric vehicles(EVs)and their stochastic charging behavior have resulted in a growing coupling between the transportation network and the grid.Consequently,effective smart management in the EVtransportation network-grid integration system has become paramount.This paper presents a comprehensive review of the current state of the art in system modeling and optimization approaches for the smart management of this coupled system.We begin by introducing the types of EVs that impact the transportation and grid systems through their charging behavior,along with an exploration of charging levels.Subsequently,we delve into a detailed discussion of the system model,encompassing EV charging load forecasting models and transportationgrid coupling models.Furthermore,optimization technologies are analyzed from the perspectives of system planning and EV charging scheduling.By thoroughly reviewing these key scientific issues,the latest theoretical techniques and application results are presented.Additionally,we address the challenges and provide future outlooks for research in modeling and optimization,aiming to offer insights and inspiration for the development and design of the EV-transportation network-grid integration system.
