Enhancing Regional Integrated Energy Systems Through Seasonal Hydrogen Storage: Insights from a Stackelberg Game Model

This study enhances regional integrated energy systems by proposing a Stackelberg planning–operation model with seasonal hydrogen storage, addressing source–network separation. An equilibrium algorithm is developed that integrates a competitive search routine with mixed-integer optimization. In the price–energy game framework, the hydrogen storage operator is designated as the leader, while energy producers, load aggregators, and storage providers act as followers, facilitating a distributed collaborative optimization strategy within the Stackelberg game. Using an industrial park in northern China as a case study, the findings reveal that the operator’s initiative results in a revenue increase of 38.60%, while producer profits rise by 6.10%, and storage-provider profits surge by 108.75%. Additionally, renewable accommodation reaches 93.86%, reflecting an absolute improvement of 20.60 percentage points. Total net energy imbalance decreases by 55.70%, and heat-loss load is reduced by 31.74%. Overall, the proposed approach effectively achieves cross-seasonal energy balancing and multi-party gains, providing an engineering-oriented reference for addressing energy imbalances in regional integrated energy systems.

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Publication Details

Journal
Processes
Published
2025-11-04
DOI
https://doi.org/10.3390/pr13113533
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

Enhancing Regional Integrated Energy Systems Through Seasonal Hydrogen Storage: Insights from a Stackelberg Game Model

Suyang Zhou, Yue Qiu, Wennan Zhuang, Ling Ju et al.
Processes
Integrated Energy Systems Optimization
article

Enhancing Regional Integrated Energy Systems Through Seasonal Hydrogen Storage: Insights from a Stackelberg Game Model

Suyang Zhou, Yue Qiu, Wennan Zhuang, Ling Ju, Changle Yu, Weixi Shi, Zheng Li, Xian Zhou, Zhizhen Li, Haiquan Liu
article en

Abstract

This study enhances regional integrated energy systems by proposing a Stackelberg planning–operation model with seasonal hydrogen storage, addressing source–network separation. An equilibrium algorithm is developed that integrates a competitive search routine with mixed-integer optimization. In the price–energy game framework, the hydrogen storage operator is designated as the leader, while energy producers, load aggregators, and storage providers act as followers, facilitating a distributed collaborative optimization strategy within the Stackelberg game. Using an industrial park in northern China as a case study, the findings reveal that the operator’s initiative results in a revenue increase of 38.60%, while producer profits rise by 6.10%, and storage-provider profits surge by 108.75%. Additionally, renewable accommodation reaches 93.86%, reflecting an absolute improvement of 20.60 percentage points. Total net energy imbalance decreases by 55.70%, and heat-loss load is reduced by 31.74%. Overall, the proposed approach effectively achieves cross-seasonal energy balancing and multi-party gains, providing an engineering-oriented reference for addressing energy imbalances in regional integrated energy systems.

ProcessesVol. 13(11)
Nanjing Normal University (CN), Nanjing Normal University Taizhou College, Southeast University (CN)
Openalex Percentile: Top 68%
Integrated Energy Systems Optimization
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Enhancing Regional Integrated Energy Systems Through Seasonal Hydrogen Storage: Insights from a Stackelberg Game Model — Suyang Zhou, Yue Qiu, et al. · Processes (2025) | TGRS Research Map | TGRS