Abstract: The energy supply configuration of an integrated energy park is a necessary technical means to practice constructing a modern energy system and achieving energy efficiency and clean utilization of energy. However, the existing planning and allocation methods have shortcomings, such as disunity of the multi-energy coupling conversion model, neglect of construction timing, and lack of multi-dimensional target selection. Therefore, the multi-objective and multi-stage energy supply configuration model for an integrated energy system, a multi-target mixed integer linear programming, is established. The solution method of Pareto sets based on AUGMECON-R is proposed to achieve an efficient solution to the multi-target problem. Combined with the comprehensive weight and TOPSIS method, the configuration plan that fits most of the park's multi-dimensional evaluation preferences can be selected. The simulation of the example verifies the effectiveness of the model and algorithm. This model can be applied to the decision-making of energy supply Configuration in various types of parks.