Optimized operation of hydrogen-containing integrated energy system based on refined heat network modeling

Aiming at the high carbon emission of combined heat and power (CHP) units in winter and the problem of conflict of interests of multiple subjects in the integrated energy system. This paper establishes a master-slave game optimization model of integrated energy systems by integrating flexible units and flexible resources within the system. On the energy supply side, hydrogen energy multi-utilization equipment, gas-fired hydrogen-doped CHP units to decarbonize the gas turbine, and the introduction of geothermal heat pumps to realize gas turbine thermo-electrolytic coupling. On the load aggregator side, heat delay and heat loss are introduced to refine heat network modeling, and the predicted mean vote (PMV) is introduced to characterize thermal comfort to give full play to user-side flexibility resources. Finally, the Stackelberg game model of the system operator and load aggregator is constructed modeled, and solved using a genetic algorithm and CPLEX solver. The results show that the proposed strategy significantly improves the economic and environmental efficiency of the system while ensuring that the interests of both subjects are maximized.