Multi-regional collaborative control for hydrogen supply chains under uncertain demands
|更新时间:2026-10-15
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Multi-regional collaborative control for hydrogen supply chains under uncertain demands
Vol. 45, Issue 9, (2026)
作者机构:
1. 国网宁夏电力有限公司电力科学研究院,宁夏,银川,750001
2. 许继电气股份有限公司,河南,许昌,461000
3. 上海大学机电工程与自动化学院,上海,200444
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CLC:
Published:2026
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LI Xutao, LI Hongqiang, ZHANG Ningbo, et al. Multi-regional collaborative control for hydrogen supply chains under uncertain demands[J]. 2026, 45(9).
DOI:
LI Xutao, LI Hongqiang, ZHANG Ningbo, et al. Multi-regional collaborative control for hydrogen supply chains under uncertain demands[J]. 2026, 45(9).DOI:
Multi-regional collaborative control for hydrogen supply chains under uncertain demands
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.