The existing carbon emission trading and carbon tax complement each other to achieve synergy, which is helpful to improve the efficiency of carbon emission reduction in power system. A collaborative optimization scheduling method of multi-agent integrated energy system under composite carbon pricing mechanism is proposed. Firstly, the mechanism of carbon tax is studied, and the waveform similarity is introduced as the basis for the allocation ratio of the load side response to the contribution of new energy, and the carbon reward subsidy is obtained based on this. Secondly, the composite carbon pricing mechanism of carbon tax and carbon trading is studied, and a low-carbon economic dispatch model with complementary carbon tax rate and carbon trading in the park is constructed. Finally, aiming at the differentiated park resources and trading strategies, a two-layer master-slave game optimization scheduling model with the goal of maximizing the profit of multi-agent integrated energy system is constructed. Each subject realizes resource allocation and optimal carbon emission reduction strategy through equilibrium game.