Abstract: In order to solve the problems of inefficient energy utilization and high energy cost in the production process of protected agricultural industrial park, a multi-objective optimization scheduling method for integrated energy system（IES） of protected agricultural industrial park is proposed, which takes into account the local consumption of wind and solar energy. Firstly, the output model of integrated energy system of protected agricultural industrial park including renewable energy such as wind, solar and biogas power is established. Then, considering various constraints, taking the minimum energy consumption and maximum consumption rate of wind and solar energy as the objectives, the improved multi-objective sine-cosine algorithm based on reverse learning is used to solve the problem. Finally, the integrated energy system of a protected agricultural industrial park is taken as an example. The results show that the optimal scheduling method can effectively reduce the daily operation cost of the park and improve the local consumption rate of wind and solar energy.