首页|Power adaptive control strategy for multi-stack PEM photovoltaic hydrogen systems considering electrolysis unit efficiency and hydrogen production rate

Power adaptive control strategy for multi-stack PEM photovoltaic hydrogen systems considering electrolysis unit efficiency and hydrogen production rate

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  • NETL
  • NSTL
  • Elsevier
To address the issue of low efficiency and hydrogen production caused by prolonged low-power operation insome electrolyzers under fluctuating photovoltaic power in multi-stack hydrogen systems, we propose a poweradaptive distribution strategy for Proton Exchange Membrane Electrolyzers. This strategy considers electrolyzerefficiency and hydrogen production, incorporating electrolysis efficiency, Faraday efficiency, auxiliary equipmentefficiency, and converter efficiency. The Dung Beetle Optimization algorithm is used for offline calculations,combined with fuzzy PID control for real-time power optimization. A case study based on actual data froma hydrogen project in Turpan, Xinjiang, shows that after 4500 mins of operation in a system with four electrolyzers,the proposed method increases total hydrogen production by 9.94%, 2.34%, and 4.87% compared totraditional average distribution, Daisy chain distribution, and efficiency-based distribution strategies, respectively.Additionally, the strategy reduces the low-power and full-load operation times of the electrolyzers,extending the equipment’s lifespan. This approach provides a new solution for ensuring stable and efficientoperation of hydrogen production systems under complex conditions.

Photohydrogen systemElectrolysis unit efficiencyMulti-stack parallel electrolyzer systemsPEM ElectrolyzerAdaptive power distribution

Kangle Cheng、Shan He、Bing Hu

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Key Laboratory of Renewable Energy Power Generation and Grid-Connected Technology in the Autonomous Region, Xinjiang University, Urumqi 830047, China||Grid-connected Technologies and Renewable Energy Power Generation Laboratory, Xinjiang University located in Urumqi, 830047, China||State Grid Gansu Electric Power Company Lanzhou New Area Power Supply Company, Lanzhou 730300, China

Key Laboratory of Renewable Energy Power Generation and Grid-Connected Technology in the Autonomous Region, Xinjiang University, Urumqi 830047, China||Grid-connected Technologies and Renewable Energy Power Generation Laboratory, Xinjiang University located in Urumqi, 830047, China

Grid-connected Technologies and Renewable Energy Power Generation Laboratory, Xinjiang University located in Urumqi, 830047, China||Xinjiang Institute of Engineering, Urumqi 830023, China

2025

10.1016/j.seta.2025.104200

Sustainable Energy Technologies and Assessments

Sustainable Energy Technologies and Assessments

SCI
ISSN：2213-1388
年,卷(期)：2025.75(Mar.)
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