Abstract: With the integration of distributed renewable energy sources (RES) into various levels of distribution networks characterized by their "numerous and widely distributed" nature, the power grid exhibits a multi-level access and integrated consumption pattern for renewable energy. To facilitate the full consumption and efficient utilization of renewable energy, a model for calculating the maximum consumption capacity of RES in multi-level distribution networks is proposed. This approach transforms the complex task of estimating the maximum RES consumption capacity in the entire system into sub-problems focused on individual distribution network levels, thereby enabling precise measurements of the maximum RES consumption space at each level. Firstly, with the objective of maximizing the RES penetration within the multi-level distribution network, a consumption space calculation model is established based on the Distflow power flow model. Secondly, to address the issues of non-convexity and low solution efficiency inherent in the model, a second-order cone relaxation technique is applied to transform the model into a mixed-integer second-order cone programming (MISOCP) model. Subsequently, the alternating direction method of multipliers (ADMM) is employed to decompose the overall RES consumption space estimation problem into sub-problems focused on individual distribution network levels, effectively transforming the consumption space model into a decomposed calculation model for the maximum RES consumption capacity across the multi-level distribution network. Finally, the effectiveness of this methodology is demonstrated through simulations on the IEEE 6, 7, 9, 10, 12, and 15 test systems.