Two-stage distributed robust optimization based on multi-discrete scenarios

The increasing proportion of distributed power generation in microgrids brings a variety of uncertainties to the dispatch of microgrids. In order to solve this problem, this paper proposes a distributed robust optimal scheduling method for microgrid based on discrete scenarios. Firstly, a microgrid model of photovoltaic, energy storage and Demand response loads was proposed. Secondly, the 1-norm and ∞ -norm conditions were combined to constrain the probability distribution of discrete scenes, and the scenario probability constraint model was constructed. Finally, based on the min-max-min two-stage distributed robust optimization model, the Column and Constraint Generation (CCG) algorithm is used for iterative calculation, and the original problem is decomposed into the main problem and the sub-problem for alternating solution, so as to obtain the optimal solution of the original problem. According to the example analysis, the effectiveness of the scheduling method can be verified.