Abstract: The temporal and spatial uncertainties associated with electric vehicles (EVs) bring severe challenges to the island dispatching operation of microgrids. To address this issue, in this paper we propose a microgrid island operation strategy based on EV aggregated charge and discharge support from the perspective of island load recovery. Firstly, an EV aggregated power control model is established by analyzing the dynamic traffic flow model, considering time-varying travel demand and traffic flow. In addition, the power boundary of EV is analyzed based on Monte Carlo method. After that, the island recovery model is established by considering the uncertainty of the wind turbine output and load of the confidence model, so as to restore the load value and the maximum of the EV off-grid and power. Subsequently, the optimization solution is implemented. The improved highway microgrid system is ultimately employed for verification. The results indicate that the proposed optimal scheduling strategy can guarantee the load recovery amount, increase the off-grid charge of EVs, and significantly enhance the operation elasticity and power supply support capability of microgrid islands.