Research on Modeling Method of Centralized Heating System Based on Hybrid Drive

This paper proposes an online simulation method for district heating systems, which combines the mechanistic model and the particle swarm optimization (PSO) algorithm for modeling the district heating systems. The proposed model can visualize the thermal behavior and energy flow of the district heating systems during operation. The model considers the heat exchange stations, the heat network and the heat users as interconnected entities, and takes into account the relevant parameters such as heat load, pipe characteristics and heat transfer coefficient. Moreover, the particle swarm optimization algorithm is used to optimize the parameters in the mechanistic model in real time through iteration, in order to improve the accuracy of the model. Finally, the model is validated using the data from an existing district heating system. The results show that combining the mechanistic model and the particle swarm optimization algorithm can accurately simulate the district heating system.