Abstract: In order to improve the utilization rate of underground space resources and implement the low-carbon development strategy, it is an important way to promote the green transformation of energy structure and the sustainable development of mineral resources by using the abundant space resources of abandoned mines to develop large-scale physical energy storage and build an integrated energy system（IES）. However, the existing IES model is difficult to directly adapt to the mine-specific flexible load, and the adjustment ability of a single energy storage is limited, which restricts the overall efficiency of the system. Therefore, based on the comprehensive consideration of the synergistic effect of gravity energy storage and mine flexible load, taking Panyi Mine in Huainan City, Anhui Province as an example, an IES architecture of abandoned mines with the minimum system operation cost and carbon trading cost as the goal is constructed, and a tiered carbon trading mechanism is introduced to optimize the scheduling. Through the comparative analysis of multi-scenario simulation, the influence of the characteristic flexible loads in the mining area on the system is quantitatively revealed from the two dimensions of economy and environmental protection, and the operation effect of IES in multiple time scales is explored, which verifies the effectiveness of the complementary mechanism of gravity energy storage and flexible loads. The simulation results show that the collaborative operation mechanism can effectively improve the consumption level of new energy in mining areas, reduce the operating cost of the system by about 15.26%, reduce carbon emissions by 7.29%, and take into account the low-carbon and economy of IES. Under the support of flexible load, gravity energy storage can realize peak shaving and valley filling based on its time shift characteristics, forming an operation mode dominated by gravity energy storage and coordinated response of multiple flexible resources, which provides a new technical path for the optimal scheduling of IES in mining areas.