建筑综合能源系统是实现低碳建筑的有效途径，为进一步挖掘其需求侧可调节潜力与碳减排潜力，合理分配建筑综合能源系统中各主体的利益，提出一种主从博弈下考虑建筑虚拟储能的建筑综合能源系统双层优化调度策略。在博弈模型考虑建筑内供冷\供热系统的热惯性和冷\热负荷的柔性，以发挥建筑虚拟储能功能，提高系统灵活性。利用遗传算法求解上层能源运营商定价模型，更新上层领导者的购售电价，下层问题调用CPLEX求解器求解，优化其设备出力、需求响应与购售电计划。最后，通过算例验证所提模型能够有效提高建筑综合能源系统的经济性和低碳性。

Building integrated energy system is an effective way to achieve low-carbon buildings. In order to further tap into its demand side adjustable potential and carbon reduction potential, and reasonably allocate the interests of various entities in the building integrated energy system, a two-layer optimization scheduling strategy for building integrated energy system considering virtual energy storage in buildings under the stackelberg game is proposed. In the game model, the thermal inertia of the cooling or heating system inside the building and the flexibility of the cooling or heating load are considered to leverage the virtual energy storage function of the building and improve system flexibility. Using genetic algorithm to solve the pricing model of upper level energy operators, updating the purchase and sale electricity prices of upper level leaders, and calling the CPLEX solver to solve the lower level problem, optimizing its equipment output, demand response, and purchase and sale electricity plans. Finally, the proposed model was validated through numerical examples to effectively improve the economic and low-carbon performance of building integrated energy systems.