Integrated energy microgrid source-load coordinated scheduling based on hybrid two-stage robust optimization

In order to solve the uncertainty of renewable energy output and load demand in the integrated energy microgrid, this paper proposes a source-load coordination optimization scheduling method based on hybrid two-stage robust integrated energy microgrid (IEM). Firstly, the framework of the transaction system in the integrated energy microgrid was established. Secondly, in order to cope with the challenge of source-load multiple uncertainties in the integrated energy microgrid, a hybrid two-stage robust optimization method based on multi-scenario probability was proposed on the basis of the traditional two-stage robust optimization, and the nested Column-and-Constraint Generation (C&CG) algorithm was used to decompose the hybrid two-stage robust optimization model into the main problem and the sub-problem for cyclic solving. Finally, the effectiveness of the model and the solution algorithm is verified by a case study, and the economy and ability to resist the fluctuation of uncertain factors are analyzed.