Low-carbon scheduling of independent microgrid considering uncertainty of source and load sides

Abstract

In this paper, the uncertainty of load and renewable energy is considered, and a low-carbon economic scheduling model based on fuzzy opportunity constraints is proposed. The carbon trading costs based on step-price carbon trading framework is introduced into the objective function to improve the system environmental protection. The fuzzy opportunity constraint is introduced to represent the uncertain factors of the system, and the triangular fuzzy parameters are used to clear the constraint conditions, the model is solved by CPLEX. The case analysis shows that in uncertain environments, the higher the carbon trading price, the lower the carbon emissions, on the contrary, the system operation cost and carbon emission cost are higher.