Abstract: To effectively deal with the risk of uncertainty brought by the inherent intermittency and volatility of offshore wind power to the port multi-energy microgrid, a two-stage distributionally robust optimal scheduling model for port multi-energy microgrid considering mobile hydrogen energy storage is proposed. First, the precise description of the ambiguity set of wind power probability distribution is achieved by combining Wasserstein distance. Then, the probability distribution of offshore wind power forecast error is fitted by non-parametric kernel density estimation, and the wind power intervals and scenarios at different confidence levels are obtained. Next, the energy storage potentials of mobile hydrogen energy storage resources such as hydrogen ships and vehicles to intermittent wind power are analyzed. Combining the differences of energy utilization psychology and traffic attributes, the two models are respectively modeled as incentive and price demand response, which can achieve efficient aggregation of flexible resources for port mobile hydrogen energy storage. Furthermore, aiming at the port mulit-energy microgrid with mobile hydrogen energy storage, a day-ahead and intra-day two-stage distributionally robust optimal scheduling model based on the ambiguity set of probability distribution is constructed. The linear decision rules and strong duality theory are used to transform the model into a mixed integer linear programming model for solution. Finally, the simulation is verified based on the measured data of offshore wind power. The results show that the mobile hydrogen energy storage can significantly improve the low-carbon flexibility of port multi-energy microgrid. The proposed model ensures the economy of port multi-energy microgrid and further considers the robustness under the risk of wind power uncertainty.