Abstract: With regards to the low energy conversion efficiency and uncontrollable factors on the robustness of electrothermal gas-coupled microgrid planning due to the randomness of new energy resources, an optimization method for the configuration of hydrogen-energy microgrid is proposed considering the uncertainties of source charges. First of all, by taking advantages of hydrogen energy storage, electric boilers and organic Rankine cycle (ORC) systems to expand the electrothermal gas conversion paths of traditional microgrids, a multi-energy coupled, low-carbon and efficient hydrogen energy microgrid is set up. Then, a typical daily selection method of electrical load-wind power output based on ordered clustering algorithm and fuzzy c-means (FCM) clustering algorithm is proposed, with the minimization of annualized total cost as the optimization objective, and by taking into account the constraints of power balance, equipment operation, hydrogen storage system and natural gas pipeline, the hydrogen energy microgrid capacity optimization configuration model is established. Finally, the actual data of an industrial park is analyzed to obtain the optimal configuration scheme and the cost of each equipment in the system. Using Matlab and Yalmip toolbox for sensitivity analysis, it is verified that the proposed method and model can effectively reduce the total cost and carbon emissions.