Dispatching strategy for the multi-energy microgrid with source and load uncertainties

Compared to the microgrid dispatch problem that only considers electricity, recent years have seen more focuses on the multi-energy microgrid problem that considers multi-energy with different carrier forms. In this paper, we present a dispatch method for the multi-energy microgrid with involving the electricity and hydrogen power. First, we formulate the dispatch problem of a multi-energy microgrid as a mixed integer linear programming (MILP). Secondly, with the uncertainties on both sides of the source and load, the original dispatch problem is remodeled as a stochastic-robust optimization problem. Then, the column-and-constraint generation (C&CG) algorithm based on the mathematical expectation is used for solution. Finally, the effectiveness of the proposed method is verified with real data. The comparison schemes can provide recommendations for decision makers when dispatching.