@article{LI2026, 
author = {Xutao LI and Hongqiang LI and Ningbo ZHANG and Yujia GU and Peng XU and Yajian ZHANG},
title = {Multi-regional collaborative control for hydrogen supply chains under uncertain demands},
year = {2026},
journal = {Electric Power Engineering Technology},
volume = {45},
number = {9},
pages = {95-103},
keywords = {hydrogen demand, uncertainty, hydrogen supply chain, operational dynamics, transportation delays, multi-regional collaborative control},
url = {https://www.sciopen.com/article/10.12158/j.2096-3203.2026.09.009},
doi = {10.12158/j.2096-3203.2026.09.009},
abstract = {The uncertainty in hydrogen demand leads to a misalignment between the actual operation of the hydrogen supply chains and its expected planning, resulting in unnecessary resource waste and increased economic costs. To address this issue, a collaborative control strategy is proposed to coordinate multi-regional production-inventory operations in the hydrogen supply chains. Firstly, considering internal and external factors such as hydrogen storage losses and transportation delays, a dynamic mechanism model of the hydrogen supply chain operation is established. Then, aiming at the goal of multi-regional coordination under uncertain demand, the operational mechanism model is transformed into a state-space control model. Subsequently, based on Lyapunov-Krasovskii time-delay stability analysis and large-scale system control theory, the multi-regional coordination performance of the production-inventory control system is analyzed, and a control strategy is designed. Finally, a case study of a three-region hydrogen supply in a power system is presented to demonstrate the effectiveness of the proposed strategy. The results show that the collaborative control enables multi-regional production-inventory operations to align with expected planning. Compared to scenarios without collaborative control, the average deviation in hydrogen production and storage is reduced by 82.2%, effectively lowering operational costs. Thus, this study provides a decision-support solution for enterprises in the hydrogen supply chains.}
}