Research on robust optimal operation strategy of regional integrated energy system considering heating network transmission model

Regional integrated energy system (RIES) is an effective way to achieve the goal of energy conservation and emission reduction of the whole energy system, and regional heating network (HN) is an important energy transmission way in the RIES. This paper focuses on the RIES optimal scheduling problem considering HN. Firstly, the RIES structure model with multiple combined cooling heating and power (CCHP) subsystems is established. Secondly, according to the basic principle of energy transmission through pipelines, a general simplified model of HN considering node flow balance and heat flow constraints is established. At the same time, considering the excellent distribution of solutions in the population method and the operability of the robust optimization over time (ROOT) in solving dynamic optimization problems, an improved ROOT based on particle swarm optimization (PSO) is proposed. Finally, an optimal scheduling model with the goal of minimum daily operating cost is established. The simulation results show that the improved ROOT can reduce the RIES operation cost by 4.58 %, and the operating cost of RIES can be reduced by 6.34 % after the HN is configured. Considering the above two measures, the total operating cost of RIES can be reduced by 10.93 %.