The dynamic power sharing method for hydrogen-battery-supercapacitor hybrid energy storage system in DC microgrid

Abstract Recently, the electric-hydrogen hybrid system has gained widespread adoption as a means of enhancing the efficiency of photovoltaic power dissipation. However, optimizing power allocation among various energy storage systems presents a significant challenge. In this paper, we will propose an adaptive droop control strategy for Electric-Hydrogen Hybrid Energy Storage System (EHESS) within DC microgrids. This strategy takes into account the state of charge (SOC) of the battery and the state of hydrogen (SOH) within the hydrogen storage tank. Through simulation analysis, we will evaluate the efficacy of the method and demonstrate its effectiveness in facilitating collaborative power allocation within EHESS.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-12-01
DOI
https://doi.org/10.1088/1742-6596/2918/1/012024
Primary Topic
Microgrid Control and Optimization
Type
article
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article

The dynamic power sharing method for hydrogen-battery-supercapacitor hybrid energy storage system in DC microgrid

Yang Lu, Xibeng Zhang, Shun Zhou, Yanyu Zhang et al.
Journal of Physics Conference Series
Microgrid Control and Optimization
article

The dynamic power sharing method for hydrogen-battery-supercapacitor hybrid energy storage system in DC microgrid

Yang Lu, Xibeng Zhang, Shun Zhou, Yanyu Zhang, Yupeng Luo
article en

Abstract

Abstract Recently, the electric-hydrogen hybrid system has gained widespread adoption as a means of enhancing the efficiency of photovoltaic power dissipation. However, optimizing power allocation among various energy storage systems presents a significant challenge. In this paper, we will propose an adaptive droop control strategy for Electric-Hydrogen Hybrid Energy Storage System (EHESS) within DC microgrids. This strategy takes into account the state of charge (SOC) of the battery and the state of hydrogen (SOH) within the hydrogen storage tank. Through simulation analysis, we will evaluate the efficacy of the method and demonstrate its effectiveness in facilitating collaborative power allocation within EHESS.

Journal of Physics Conference SeriesVol. 2918(1)
Henan University (CN)
Openalex Percentile: Top 72%
Microgrid Control and Optimization
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The dynamic power sharing method for hydrogen-battery-supercapacitor hybrid energy storage system in DC microgrid — Yang Lu, Xibeng Zhang, et al. · Journal of Physics Conference Series (2024) | TGRS Research Map | TGRS