Abstract: To address the problems of limited wind-solar accommodation capacity and insufficient utilization of adjustable resources in port microgrids, this paper proposes a multi-time scale optimal scheduling strategy for port microgrids considering flexible loads and electric ships. Firstly, the system architecture of the port microgrid is established with consideration of adjustable resources including flexible loads and electric ships. Secondly, the response model of port flexible loads and the charging-discharging model of electric ships are constructed. On this basis, a multi-time scale optimal scheduling model is built. In the day-ahead phase, the flexible loads baseline power and electric ships scheduling plan are formulated with the goal of minimizing the system operation cost; in the intraday phase, a rolling optimization model is established, realizing the dynamic matching of source-grid-load-storage by dynamically adjusting the response strategy of flexible loads and the charging-discharging power of electric ships. Simulation results indicate that compared with the day-ahead scheduling scenarios without considering flexible loads, electric ships and energy storage, the proposed method can reduce the total operating cost of the port microgrid by 20.2% and increase the local wind power accommodation rate by 8.1 percentage points in the intraday optimization phase. Furthermore, the economic benefits and wind power accommodation performance of the proposed method is superior to the scheduling results under single-scenario conditions, highlighting the comprehensive advantages of multi-source coordination and multi-time scale optimization.