Abstract: The optimization operation process of the multi-park integrated energy system with multiple park-level subjects faces challenging problems such as interest distribution conflicts among multiple subjects, information privacy protection, and random fluctuation of wind and photovoltaic output. Therefore, a distributed optimization method for the multi-park integrated energy system is proposed based on the cooperative game. Firstly, a multi-park cooperative game model is established based on the game theory, and the profit is distributed according to the Shapley value. Secondly, the alternating direction method of multipliers is adopted to decouple different park systems, and the distributed solution is realized by interactive iteration to solve the problem of information privacy protection with multi-subject participation. Thirdly, the stochastic fluctuation characteristics of the wind and photovoltaic output are quantitatively expressed by combining the scenario method with the conditional value at risk theory, and the system optimization model in an uncertain environment is established and solved. Finally, the effectiveness of the proposed model in improving the overall economic benefit, ensuring the information security of each subject, and adapting to an uncertain environment are verified by a simulation example.