Abstract: Combined cooling, heating and power system is widely used in integrated energy system because of its high energy utilization rate. However, due to the constraint of the mode of “power determined by heat”, heating and power supply cannot be decoupled, which makes it difficult to absorb a large number of wind power. In view of the problem that a large number of wind power is not used in winter night in China, especially in the “Three North Area”, the heat pump and power to gas device are incorporated into the integrated energy system to study their role in the absorption of wind power. Taking the minimum fluctuation of the total economic cost, greenhouse gas emissions and net load of the integrated energy system as the objective function, taking into account the tie line, energy storage and power balance constraints, the Pareto multi-objective particle swarm optimization algorithm is used to solve the model, and four scenarios are set to explore the influence of heat pump and electric gas on all aspects of the system in different scenarios. The wind power consumption and load fluctuation of the system before and after adding heat pump and power to gas device are simulated and analyzed, and the effectiveness of the proposed method is verified.