Analysis of low-carbon comprehensive energy system scheduling considering multiple uncertainties

Carbon capture systems and the utilization of renewable energy are key ways to reduce carbon emissions, but their uncertainty seriously affects the stable operation and economic efficiency of power systems. To tackle this challenge, a low-carbon economic scheduling model for microgrid electric-thermal integrated energy systems(IES) considering uncertainties is proposed in this paper. The model suggests an ideal dispatch of the IES system that accounts for the disruption of the carbon capture system’s integration into the grid belt and plans for the carbon capture plant’s low carbon features. Mechanisms for operating and scheduling systems couple wind energy with carbon capture power plants. These mechanisms also invoke demand response resources on the load side. The system’s low carbon performance is increased through cooperative source–load resource optimization. A well-established industrial automation optimal dispatch model is developed using YALMIP and CPLEX. The results show that this method is helpful to solve the problem of system adaptability and seek a balance between low-carbon and economy. When considering uncertainties, the ability to resist risks of the system is improved, but the cost will increase by about 3 \(\%\) $\%$ .