Research on the Optimal Scheduling of Low-Carbon Economy of New Power System Considering Uncertainty

A novel low-carbon economic scheduling strategy that takes uncertainty into account is suggested in light of the effects of uncertainty in wind and solar output and load prediction on power system scheduling planning. In order to minimize the new power system’s overall operating costs, an optimum scheduling model is first created. Simultaneously, the stepped carbon trading model is introduced to the scheduling goal function to account for the power system’s carbon emissions. Second, to address the uncertainty of wind and solar output and load, a fuzzy chance constraint approach is presented. The results of the example demonstrate the effectiveness of the proposed scheduling model. The model, which comprehensively considers fuzzy opportunity constraints and stepped carbon trading, can effectively improve the new energy consumption rate and reduce the carbon emissions of the system. On this basis, risks can be controlled by setting confidence levels to ensure the safe and stable operation of the system.