Abstract: The community integrated energy system can give play to the synergistic and complementary advantages of different types of energy, and provide users with reliable, high-quality and economical energy supply by coordinating various energy equipment. Aiming at the contradiction between the model accuracy and the solution efficiency of CIES, this paper proposes a collaborative optimal scheduling method of CIES based on multi-energy supply/demand-cost mapping analysis. First, an integrated model of CIES considering the off-design performance of various conversion equipment is established. Then, the net cost, i.e. output characteristics of various energy equipment, is analyzed, and the comprehensive cost, i.e., energy consumption curve for demand of CIES is constructed; and its general model is also given. On this basis, a collaborative optimal scheduling method based on multi-energy supply/demand-cost mapping is proposed. Finally, a CIES is taken as an example for simulation verification. The simulation results show that the proposed method can significantly improve the accuracy of the scheduling scheme and ensure a short calculation time.