Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Hierarchical Energy Management and Control Strategy for Hydrogen-Electricity Coupled DC Microgrids
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1School of Automation, Wuhan University of Technology, Wuhan 430070, China;2Department of Electrical Engineeing, Chalmers University of Technology, Gothhenburg 41296, Sweden;3School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China

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This work was supported in part by the Key Supported Project of the Joint Fund for Smart Grid of the National Natural Science Foundation of China (No. U24B20103) and in part by the National Key Research and Development Project of China (No. 2020YFB1506802).

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    Abstract:

    Hydrogen - electricity coupled DC microgrids (HE-DCMGs) represent a promising and sustainable solution for off-grid power supply. However, achieving high economic performance while ensuring DC bus voltage stability is a critically challenging task. This study proposes a hierarchical energy management and control strategy for HE-DCMGs that integrates an adaptive mutation Harris hawks optimization (AMHHO) algorithm at the system level with a fractional-order sliding mode controller (FOSMC) at the device level. A multi-objective optimization problem is formulated to minimize hydrogen consumption and reduce degradation of proton exchange membrane fuel cells and lithium-ion batteries. The AMHHO algorithm, augmented with differential evolution and Lévy flight mechanism, determines the optimal power allocation among distributed sources, while the FOSMC provides robust DC bus voltage regulation. The proposed strategy is validated on a 750 V HE-DCMG experimental platform capable of 168 hours of off-grid operation. Experimental results show that the proposed strategy reduces long-term operating costs and improves energy-utilization efficiency, achieving an overall system efficiency of 80.49%-97.37%. The DC bus voltage is maintained with a response time of 0.02 s, a low overshoot of 3.7%, and a voltage fluctuation rate of 3.08%, all of which comply with the requirements of IEEE Std 1547‒2018.

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History
  • Received:April 28,2025
  • Revised:August 25,2025
  • Adopted:
  • Online: May 27,2026
  • Published:
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