Abstract:In order to better consider the impact of the uncertainty of distributed new energy sources and the demand-side flexible response resources on the integrated energy system,firstly,the IES flexibility supply and demand model is established.Secondly,the IES two-stage distributed robust optimization model is constructed based on scenario probability driven.Finally,the Column and Constraint Generation (CCG) algorithm is used for iterative solution.The effectiveness of the proposed model and solution algorithm is verified by simulation analysis.Compared with traditional IES optimization scheduling,the model proposed in this paper reduces the total operating cost of the system and improves the flexibility of the system.