Abstract: The park-level integrated energy system（IES） with multi-energy complementation of electricity, gas, cooling and heat could promote the accommodation of power generation of renewable energy and improve the energy utilization efficiency. A dayahead low-carbon economic dispatch strategy for the park-level IES based on distributionally robust optimization is proposed. First, the operational framework of the park-level IES considering the carbon trading and integrated demand response（IDR） is introduced, and a carbon trading model and an IDR model based on customer energy consumption behaviors are proposed. Secondly, with the objective of minimizing operation costs and considering the constraints of park-level IES operation and twostage operation of power to gas（P2G） devices with hydrogen doping in the fuel, a day-ahead low-carbon economic dispatch model for the park-level IES is established. Then, a distributionally robust low-carbon economic dispatch model of park-level IES is built with consideration of the uncertainty of customer response. By using the duality theory, the proposed distributionally robust optimization（DRO） model is reformulated as a second-order cone optimization model and solved by the commercial solver CPLEX. Finally, by taking a typical park-level IES with multi-energy complementation of electricity, gas, cooling and heat as an example, the feasibility and effectiveness of the proposed optimization model are verified. The simulation results show that the proposed low-carbon economic dispatch strategy can effectively improve the economy of the park-level IES operation and the renewable energy accommodation ability, and reduce the carbon emission and operation risk of the IES.