1.Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;2.Shanxi Energy Internet Research Institute, Taiyuan 030006, China

In recent years, the rapid growth of electric vehicles (EVs) and fast charging facilities has two closely coupled complex infrastructure networks, which is the power system and transportation system. With flexibility in charging time and location, EVs become ideal mobile energy storage resources for new power systems, which provide massive spatial and temporal flexible regulation capabilities. However, behind the macro power-transportation coupling is the micro social decision-making of numerous EV users under the guidance of the multi-source information, which forms a complex cyber-physical-social system. The relevant research on collaborative modeling and optimization of power-transportation coupling network from such perspective is reviewed. Firstly, the basic scenarios and key challenges of power-transportation network are introduced. Subsequently, focusing on social and physical layers, the modeling of EV traveling-charging behavior is reviewed, which integrates the micro EV user decision-making and macro network dynamics. Then, further incorporating the cyber layer, the strategy interaction and collaborative optimization among multiple pricing entities with EV drivers are summarized. Finally, prospects are made for the research on modeling and the optimization of power-transportation coupling network.