Abstract: To effectively exploit the low-carbon flexibility potential of liquified natural gas（LNG） cold energy utilization in ports and give full play to the synergistic optimization effects across multiple time scales, a robust-stochastic bi-layer uncertainty economic scheduling model for port multi-energy microgrid（MEMG） considering the cascade utilization of LNG cold energy is proposed. Firstly, considering the low-carbon flexibility potential of LNG cold energy utilization across each deep cooling-mid cooling-shallow cooling temperature zone, a cold energy cascade utilization model of low-temperature carbon capture, cold energy power generation, and direct cooling is established, and a collaborative carbon processing of capture-storage-utilization is formed on this basis. Secondly, the wind power scenarios considering the temporal correlation of prediction errors are generated based on the equal probability inversion, and the scenarios are reduced by using a 0-1 planning model based on the Wasserstein distance. Thirdly, concerning the characteristic of wind power prediction error increasing with the increase of time scale, a robust-stochastic bi-layer uncertainty economic scheduling model with multi-time-scale optimization is constructed. The upper layer guarantees the robustness of day-ahead pre-scheduling decisions through distributionally robust optimization, and the lower layer guarantees the economic benefits of intra-day rolling scheduling decisions through stochastic optimization. Finally, the simulation results demonstrate that the proposed robust-stochastic bi-layer scheduling model considering the cold energy cascade utilization can not only better solve the contradiction of low prediction accuracy on day-ahead long-time-scale and easy to fall into the local optimum on intra-day short-time-scale, but also provide more economy, low-carbon emissions and power supply flexibility to the port MEMG.