As wind power integration increases

its unpredictability challenges the integrated energy system (IES). A low-carbon

economic dispatch method for IES using an enhanced wind power scenario reduction algorithm is introduced in this paper. It employs an improved iterative self-organizing data analysis technique algorithm (ISODATA) for clustering historical wind power scenarios

addressing the limitations of traditional clustering algorithms in determining cluster centers and analyzing inherent data features. Then

an integrated energy model is established and it optimized using an improved stepwise carbon trading and power to gas and carbon capture system (P2G-CCS) coupling model. Finally

an IES model is developed with the goals of improving economic efficiency

reducing carbon emissions. Simulation results demonstrate that this model reduces comprehensive operational costs while ensuring low carbon emissions in the system.