Abstract: To tackle the conflict of interest between energy operators and load aggregators within regional energy systems, a comprehensive energy pricing strategy has been developed, taking into account the mutual conversion of various energy forms. A two-tier optimization model has been established for an interconnected energy system encompassing electricity, gas, heat, and hydrogen. The upper tier involves an operator who maximizes profits by setting energy prices and selling energy to user aggregators. The lower tier consists of user models that adjust their energy usage strategies based on these prices to optimize energy cost efficiency, with both parties seeking to maximize their individual interests in a rational manner. The model also incorporates the integration of new energy consumption, hydrogen production, thermal storage, battery hybrid energy storage, and carbon trading mechanisms to meet the demand for renewable energy across different times and spaces, and to optimize low-carbon energy systems. The outcomes indicate that the upper-tier energy operator’s benefit reaches 23322.36 yuan, the lower-tier load aggregator's income reaches 18561.25 yuan, and overall carbon emissions are reduced by 12.67%. The optimization results across various scenarios demonstrate that the two-tier optimization model, based on the Stackelberg game, can achieve increased profits for both operators and aggregators while promoting low-carbon operations.