System scheduling of the zero-carbon hydrogen-based industrial park via cGAN-distributionally robust optimization: A case study in ordos, China

Xuejie Wang, Mingrui Zhao, Zhuoya Siqin, Huiru Zhao and Mingxia Li

Energy, 2025, vol. 336, issue C

Abstract: In the context of China's dual carbon goals, hydrogen-based zero-carbon industrial parks have become a central focus of national strategies for energy conservation and carbon emission reduction. However, the operation of zero-carbon industrial park system (zero-carbon IPS) faces many challenges, such as multiple uncertainties that are difficult to accurately characterize and unclear multi-energy coupling mechanisms. To address this, a distributionally robust optimization approach incorporating data generation techniques is proposed to balance economic performance and operational risk in the scheduling of zero-carbon IPS. Firstly, a conditional generative adversarial network is employed to generate uncertain factor data within the zero-carbon IPS, effectively avoiding reliance on model assumptions and prior distributions, thereby enhancing scenario generation efficiency. Secondly, the deviation between the generated and real-world scenarios is quantified using ϕ-divergence, and a green hydrogen energy certificate market mechanism is introduced. Based on this, a distributionally robust chance-constrained optimization scheduling model is constructed to account for operational risks in the zero-carbon IPS. Finally, the proposed model is reformulated as a mixed-integer linear programming problem using the sample average approximation method and linearization techniques to improve computational efficiency. The zero-carbon IPS in Ordos, China, is used as a case study to verify the effectiveness of the proposed method.

Keywords: Zero-carbon industrial park system; Distributionally robust optimization; Conditional generative adversarial network; Uncertainty; Green hydrogen energy certificate (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225039854
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:336:y:2025:i:c:s0360544225039854

DOI: 10.1016/j.energy.2025.138343

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().