With the rapid growth of renewable energy grid integrated into power grid and load increase during peak hours, the demand for peak regulation ancillary services in the power system is increasing. Therefore, an integrated energy system（IES）model based on masterslave game is proposed, and the benefits of the game parties are increased with the peak regulation demands met. Firstly, a multi-mode utilization model of hydrogen energy is established to enhance the energy coupling of IES. Secondly, an integrated demand response（IDR）model including electricity and heat is constructed with the consideration of energy consumption utility and dissatisfaction, so as to give full play to the potential of flexible load regulation. Then, a master slave game model is established with integrated energy system operator （IESO）as the leader and user aggregator（UA）as the follower, and both parties play the game with the goal of maximizing their respective revenue. Two-layer master-slave model is converted into a single-layer model through the KKT condition for obtaining optimization solution. The effectiveness of the proposed optimization scheduling model is verified by case study, and the revenue of IESO is increased by 43.60% and theutility of energy consumption of UA is increased by 2.02%.