Low-carbon economic dispatch based on improved ISODATA scenario reduction for wind power in IES
Year: 2025
Type: article
Abstract: 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.
Authors: Yuangen HUANG, Xingyu LIU, Tianran LI, Zhenya JI, Wei XU
Institutions: Nanjing Normal University, NARI Group (China)
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6922613655
FWCI:
Cites:
Cited by:
Related to: