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In this paper, a production simulation method of regional integrated energy system considering the randomness of the scene is proposed to solve the production decision problem of integrated energy system including wind power, photovoltaic and other intermittent renewable energy sources. This method firstly establishes the typical scenario set of the integrated energy system operation with the corresponding random probability through cluster analysis. Secondly, taking the regional integrated energy system as the object, a production decision model and algorithm with the goal of minimizing the expected energy consumption cost are proposed. Finally, the effectiveness of the model algorithm is verified by a case study.

With a large amount of intermittent distributed generation(DG) integrating into active distribution network(ADN), the flexibility requirements during the operation process should be paid more attention. Therefore, a dynamic optimal operation model is built. In this model, the maximization of economic benefits during the production cycle is set as the optimization objective, and the constrains of security and flexibility are considered. Then based on this model, the security, economy and flexibility requirements of power system are satisfied by coordination and interaction of different flexible sources. Finally, a case study is given to illustrate the validity and effectiveness of the models.