Abstract:Aiming at the impact of renewable energy output and load uncertainty on the economic dispatch of the integrated energy system, based on the combined heat and power system composed of combined heat and power system, heat storage, power storage device and electric boiler, the consideration of whether the source charge is Determining factors of the current economic dispatch problem. The renewable energy output and the electric heating load in the system are expressed by trapezoidal fuzzy parameters, and an optimal scheduling model of fuzzy chance-constrained programming based on credibility theory is constructed; the clear equivalence class with fuzzy chance-constraints will be used for the chance-constrained planning with fuzzy parameters The model is transformed into a deterministic mixed integer programming model, modeled in the Python environment, and solved using the Gurobi solver. Finally, an example is used to analyze the effect of the energy storage device on improving the economics of the system, as well as the impact of the source and load uncertainty and different confidence levels on the system operating cost, and the effectiveness of the proposed model is verified.