Robust optimization scheduling of microgrid considering carbon capture equipment

Abstract

To cope with the carbon dioxide generated during the operation of the microgrid and consider the wind power fluctuations, a robust optimization scheduling model for the microgrid is proposed, considering carbon capture equipment. Considering the large amount of carbon emissions caused by micro-turbine power generation and electricity purchase during the operation of microgrid, two operating modes of carbon capture equipment are considered, the carbon trading costs are considered in the objective function, and the output of all wind power is included through a box uncertain set. The C&CG algorithm was used to solve the constructed model and obtain the corresponding scheduling plan. Finally, the effectiveness of the model was verified through numerical examples. The results indicate that the total operating cost of microgrids can be further reduced by setting up carbon capture equipment to operate in flexible mode.