Considering the needs of coal mining enterprises for energy conservation and emission reduction, as well as the demand for increasing the utilization ratio of renewable energy in the coal mine integrated energy systems, while also taking into account the impact of the uncertainty of mine-derived energy and renewable energy, a distributed robust optimization dispatching method for the coal mine integrated energy systems based on the Imprecise Dirichlet model is proposed.Firstly, consider the waste of renewable energy, the power-to-gas device is added to the traditional energy system to convert excess renewable energy into natural gas, enhancing the utilization rate of renewable energy sources.Secondly, the distributed robust method is used to express the uncertainty of mine-derived energy and renewable energy, and the fuzzy set containing the true distribution of mine-derived energy and renewable energy is constructed from the historical data by the Imprecise Dirichlet model, and then the interval expression of the output power satisfying a certain degree of confidence is obtained to construct the distributed robust optimization model of the coal mine integrated energy system. Finally, the column and constraint generation (C&CG) algorithm is used to solve the model, and the effectiveness of the model is verified by a coal mine in Shanxi Province.