Abstract: The operation of the park integrated energy system faces dual constraints from the electricity market and carbon market. Strengthening the correlation of the electricity carbon joint market is the key to promoting its low-carbon operation. Therefore, a comprehensive energy system optimization and scheduling method for industrial parks based on electricity carbon coupling pricing is proposed. Firstly, a park electricity carbon coupling price model combining time of use electricity price and floating carbon price is proposed, based on the operation of the comprehensive energy system in the park, which achieves carbon trading cost transmission through floating carbon price. Then, a comprehensive energy optimization decision-making model for the upper and lower levels of the park is constructed, with the upper level being the energy price optimization decision model for the park, with the goal of maximizing the operating income of the park, optimize the electricity carbon coupling price and transmit it to the lower level model. The lower level is a user energy optimization model. After receiving the electricity carbon coupling price from the upper level, users adjust their energy consumption behavior with the goal of maximizing energy efficiency and benefits, and declare load demand to the upper level. Finally, the effectiveness of the proposed model is verified through numerical examples, and the impact of average carbon price fluctuations on the electricity carbon coupling price results and the energy efficiency of all parties is analyzed.