Keywords
integrated energy system; hybrid hydrogen production; oxy-fuel combustion capture; wind loaduncertainty; dynamic deviation IGDT
Abstract
To improve the wind power accommodation rate and reduce the cost of hydrogen energy use and system-level carbon emissions, this paper proposes a coordinated optimization strategy for an integrated energy system (IES) based on information gap decision theory (IGDT) with dynamic deviation. First, a hybrid hydrogen production system and an oxy-fuel combustion capture system are introduced into the IES, and an IES model incorporating the hybrid hydrogen production and oxy-fuel combustion capture system is constructed. Second, a system scheduling model for deterministic scenarios is established with the objective of minimizing the total operating cost. In addition, an IGDT decision model based on dynamic deviation is proposed to address the issue that the traditional IGDT decision model is overly conservative when dealing with wind load uncertainty. Finally, the results verify that the proposed strategy effectively improves the overall economic performance of the system, achieving coordinated low-carbon economic operation of the system.
DOI
10.19781/j.issn.1673-9140.2026.01.019
First Page
194
Last Page
204
Recommended Citation
RAN, Huajun; YANG, Daiqiang; GAN, Youchun; WANG, Can; WANG, Mingchao; ZHENG, Jun; and HUANG, Fang
(2026)
"Coordinated optimization strategy of integrated energy system based on dynamic deviation IGDT,"
Journal of Electric Power Science and Technology: Vol. 41:
Iss.
1, Article 19.
DOI: 10.19781/j.issn.1673-9140.2026.01.019
Available at:
https://jepst.researchcommons.org/journal/vol41/iss1/19
