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author:

Chen, R. (Chen, R..) [1] | Zheng, W. (Zheng, W..) [2] | Zhu, Y. (Zhu, Y..) [3] | Pan, J. (Pan, J..) [4] | Wu, Y. (Wu, Y..) [5]

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Scopus

Abstract:

With the growing demand for clean energy, hydrogen has emerged as a key zero-carbon energy carrier, particularly in power-to-hydrogen (P2H) systems. However, the safe operation of hydrogen storage tanks-especially during rapid charging/discharging-remains a critical yet understudied challenge. This paper proposes an optimized electricity-hydrogen network model that ensures thermal safety in hydrogen storage tanks during rapid charging/discharging. The framework integrates power grid and pipeline network optimization with a neural network-based thermal surrogate model. Case studies show the model prevents hazardous temperature fluctuations with only a 2.4% cost increase, demonstrating its effectiveness for safe hydrogen system operation. © 2025 IEEE.

Keyword:

component Integrated energy systems Neural network surrogate modeling Power-to-hydrogen Thermal safety

Community:

  • [ 1 ] [Chen R.]College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350012, China
  • [ 2 ] [Zheng W.]College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350012, China
  • [ 3 ] [Zhu Y.]College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350012, China
  • [ 4 ] [Pan J.]College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350012, China
  • [ 5 ] [Wu Y.]Longyan Electric Power Supply Company, State Grid Fujian Electric Power Company, Fujian Province, Longyan, 364000, China

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Year: 2025

Page: 697-702

Language: English

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 1

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