Abstract: With the enrichment of energy forms in microgrids and the development of power supply decentralization, the economic efficiency of integrated energy microgrids has also gained attention. In this paper, the distributed power supply scheduling optimization of integrated energy microgrids is based on the generation incremental cost rate principle.Under the condition of satisfying the physical constraints of each distributed microsource and the energy supply and demand balance constraints, the multi-agent consensus-based distributed optimization method is used to achieve the consistent incremental cost rate of each microsource, and then achieve the optimal economic efficiency of the integrated energy microgrid power supply.In the experimental part, the effectiveness of the distributed optimization algorithm is firstly verified in MATLAB simulation, and then a 3-Bus system is implemented in LabVIEW and MATLAB platform on three distributed computers based on real-time communication.The experiment results show the application feasibility of the distributed consensus algorithm in practice and the effectiveness of reducing the cost of system power and heat generation.