Abstract: Under the dual carbon target, it is imperative to develop integrated energy system planning and research, and the flexible loading, unloading and configuration of the user-side integrated energy module is one of the emerging research objects. In this paper, a two-stage integrated energy planning model is established with the introduction of multiple hybrid energy storages and carbon capture devices, which achieves the complementary use of energy and carbon emission recovery and utilization in the system. To deal with new energy output such as photovoltaic and wind power, and user load uncertainty, extreme scenario is proposed. According to ellipsoid set data driven method of robust optimization in uncertainty, the paper accurately describes the correlation between variables and improves the conservation of traditional robust optimization result. Compared with the traditional method with mass probability calculation, a simpler ellipsoid endpoint extraction method is used to obtain extreme scenes. In this paper, the steps of column and constraint generation（CCG） solution are improved by using the advantage of ellipsoidal extreme scenarios to avoid the complicated duality processing of sub-problems. Finally, by example simulation and comparison with the traditional interval uncertain set robust optimization method, it is proved that method proposed in this paper has advantages in reducing economic cost, energy saving and reducing carbon emissions.