The overall efficiency of the energy system can be improved by the comprehensive planning and scheduled optimization of the integrated energy system to meet the regional energy demand. To solve the problems of insufficient equipment coordination within the energy station and the mismatch between the designed and actual loads, this paper presents a model-based scheduling optimization method for integrated energy systems. Firstly, this study establishes the model of the source energy station according to the equipment parameters and energy flow topology. After that, we carry out the clustering analysis of energy consumption data according to the actual operation data of the user. Then, the modular optimization model is built and solved for the daily scheduling scheme to achieve the lowest economic cost. This method was applied in a case study to optimize the cool and heat supply strategy. The optimized plan showed better economy and stability, saving about 2.3% for the system operation cost.

optimal schedule; integrated energy; simulation