Research on optimal configuration of proton exchange membrane hydrogen storage systems considering dynamic equipment efficiency and stack price uncertainty

ZHENG Wendi; YU Kaiwen; LÜ Bochao; SHAO Zhenguo; JIANG Changxu

doi:10.19783/j.cnki.pspc.251268

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Research on optimal configuration of proton exchange membrane hydrogen storage systems considering dynamic equipment efficiency and stack price uncertainty

更新时间：2026-07-27

- Research on optimal configuration of proton exchange membrane hydrogen storage systems considering dynamic equipment efficiency and stack price uncertainty
- Power System Protection and Control Vol. 54, Issue 13, (2026)
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- DOI：10.19783/j.cnki.pspc.251268
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- Published：2026
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ZHENG Wendi, YU Kaiwen, LÜ Bochao, et al. Research on optimal configuration of proton exchange membrane hydrogen storage systems considering dynamic equipment efficiency and stack price uncertainty[J]. Power System Protection and Control, 2026, 54(13).
DOI：

ZHENG Wendi, YU Kaiwen, LÜ Bochao, et al. Research on optimal configuration of proton exchange membrane hydrogen storage systems considering dynamic equipment efficiency and stack price uncertainty[J]. Power System Protection and Control, 2026, 54(13). DOI： 10.19783/j.cnki.pspc.251268.

摘要

针对质子交换膜氢储系统 (proton exchange membrane hydrogen storage system

PEMHSS) 优化配置中运行参数、设备动态效率及价格不确定性对系统经济性和实用性的影响问题，提出一种计及设备动态效率与电堆价格不确定性的 PEMHSS 优化配置方法。首先，考虑两相传输与物质守恒机制，建立能够精准反映实际运行特性的 PEMHSS 精细模型。然后，针对精细模型计算复杂度高、耗时长的瓶颈问题，采用数据驱动方法构建系统代理模型，实现模型高精度与求解高效率的统一。最后，基于代理模型对电堆运行参数进行优化，并在此基础上建立综合考虑设备动态效率与电堆价格不确定性的氢储系统优化配置模型。算例结果表明，经参数优化后，PEMHSS 的制氢与发电效率分别提升了 5.95% 和 13.04%，且配置方案有效降低了系统年均综合成本，验证了所提方法的有效性。

Abstract

To address the impacts of operating parameters

dynamic equipment efficiency

and price uncertainty on the economic performance and practicality of proton exchange membrane hydrogen storage systems (PEMHSS)

this paper proposes an optimal configuration method that accounts for dynamic equipment efficiency and stack price uncertainty. First

considering the mechanisms of two-phase transport and mass conservation

a refined model accurately reflecting the actual operation characteristics of the PEMHSS is established. Then

to overcome the challenges of high computational complexity and long solution times associated with the refined model

a surrogate model is constructed using a data-driven approach

achieving a balance between modeling accuracy and computational efficiency. Finally

stack operating parameters are optimized using the surrogate model

and an optimal configuration model for the hydrogen storage system is developed by comprehensively considering dynamic equipment efficiency and stack price uncertainty. Case study results show that

after parameter optimization

the hydrogen production and power generation efficiencies of the PEMHSS are improved by 5.95% and 13.04%

respectively. Moreover

the configuration scheme effectively reduces the system's average annual total cost

demonstrating the effectiveness of the proposed method.

关键词

Keywords

references

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