Abstract: Electric vehicles（EVs） are entities with dual attributes of mobile load and communication users. In order to fully tap into the schedulable potential generated by their participation in demand response and reduce power grid load fluctuations, a demand response strategy is proposed for EVs and 5G base stations in the context of power-cyber-transportation network coupling. Firstly, the multi-network coupling relationship between EVs and 5G base stations is analyzed. Secondly, flexibility models for the EV clusters and 5G base station cluster are established. Based on these models, a two-stage demand response optimization scheduling strategy is proposed: in the first stage, with the objective of minimizing communication costs, the strategy provides charging navigation and route planning for EVs while optimizing the energy consumption mode of base stations; in the second stage, with the objective of minimizing distribution network load fluctuations, the strategy formulates the charging and discharging strategy for EVs. Finally, through the test of a city traffic model, the influence of scheduling strategy on base station operation, distribution network load, power flow and users is analyzed, and the effectiveness of the model and method is verified.