Research on SOC Balancing Control Strategies for Multiple Energy Storages in DC Microgrids

With the rapid development of renewable energy sources, DC microgrids, as an important form of application, face stability challenges due to power fluctuations and randomness. This paper, based on the traditional droop control strategy, proposes an improved droop control strategy that incorporates a state of charge (SOC) mechanism to achieve more accurate current distribution and bus voltage stability. By monitoring the system's state in real time and dynamically adjusting the droop coefficients, the control strategy presented in this paper can adapt to changes in system parameters and external disturbances, thereby enhancing the stability and reliability of DC microgrids.

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Publication Details

Published
2025-05-17
DOI
https://doi.org/10.1109/icet64964.2025.11102920
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.21
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Research on SOC Balancing Control Strategies for Multiple Energy Storages in DC Microgrids

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1 citations
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article

Research on SOC Balancing Control Strategies for Multiple Energy Storages in DC Microgrids

Lei Shi, Haifeng Wei, Yi Zhang, Yu Zhou, Weiting Liu, Jian Zhang, Xiaowei Zhou
article en
1 citations

Abstract

With the rapid development of renewable energy sources, DC microgrids, as an important form of application, face stability challenges due to power fluctuations and randomness. This paper, based on the traditional droop control strategy, proposes an improved droop control strategy that incorporates a state of charge (SOC) mechanism to achieve more accurate current distribution and bus voltage stability. By monitoring the system's state in real time and dynamically adjusting the droop coefficients, the control strategy presented in this paper can adapt to changes in system parameters and external disturbances, thereby enhancing the stability and reliability of DC microgrids.

Suzhou University of Technology (CN), Jiangsu University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 18%
Microgrid Control and Optimization
1.21
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