Temporal and spatial coordinated optimization of integrated energy systems under uncertain conditions

This paper adopts a min-max-min two-layer robust optimization method to deal with the inherent uncertainty of renewable energy power generation units in integrated energy systems. First, the principles of wind power and photovoltaic power generation are analyzed to point out the sources of uncertainty. Then, the uncertainty set of renewable energy power generation is constructed, and the model affected by uncertainty is divided into two layers of models, inner and outer. On this basis, the dual method is used to transform the initial two-layer model into a mixed integer linear programming, and finally the C&CG method is used for iterative solution. Finally, the analysis is carried out on the matlab platform in the form of an example, and the impact of different uncertain parameters on the system economy is discussed.