Abstract:A cooling, heating and power microgrid with multiple energy sources complementing each other can promote the use of renewable energy and realize the ladder utilization of resources. For the optimization of the operation of the microgrid system formed by the coupling of electricity, heat and cold in the region, this paper based on the typical daily wind, photovoltaic output and load demand characteristic curves in different seasons, it is constructed with gas turbine, waste heat boiler, absorption chiller and other unit equipment, and uses an improved dynamic inertia weight particle swarm algorithm to solve the problem, taking into account the fuel cost, environmental management cost, grid interaction cost and operation and maintenance cost of the system. The optimized solution is carried out by considering the fuel cost, environmental management cost, grid interaction cost and operation and maintenance cost of the system. Finally, the validity of the model and method is verified through case analysis, which provides a reference and basis for the planning and design of the combined cooling, heating and power microgrid system.