Distributed Coordinated Control Strategy of Multienergy Storage in DC Microgrid Based on Improved Consensus Algorithm

To address the imbalance in the state of charge (SOC) of distributed energy storage units (DESUs) in DC microgrids (DCMGs), this article proposes an improved droop control strategy. First, the droop coefficient of the energy storage device is linked to the SOC nested power function, enabling the energy storage unit to adaptively adjust the droop coefficient according to the SOC during charging and discharging. Second, a variable acceleration factor is introduced to further accelerate the equalization speed when the SOC difference is reduced. Current sharing compensation is added to eliminate the influence of line impedance mismatch on power distribution accuracy and a bus voltage compensation strategy is employed to maintain bus voltage stability. The improved consensus algorithm is used to accelerate the convergence speed of consistency and the information of adjacent nodes is exchanged to obtain the average value of the system. The stability of the system is demonstrated through frequency domain analysis. Finally, the proposed adaptive droop control strategy is validated by numerical simulation and hardware‐in‐the‐loop experiments, proving the effectiveness of the proposed strategy.

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Publication Details

Journal
International Journal of Energy Research
Published
2025-01-01
DOI
https://doi.org/10.1155/er/1894438
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Distributed Coordinated Control Strategy of Multienergy Storage in DC Microgrid Based on Improved Consensus Algorithm

Yuhang Yang, Zhi Na, Hang Zhang
International Journal of Energy Research
Microgrid Control and Optimization
article

Distributed Coordinated Control Strategy of Multienergy Storage in DC Microgrid Based on Improved Consensus Algorithm

Yuhang Yang, Zhi Na, Hang Zhang
article en

Abstract

To address the imbalance in the state of charge (SOC) of distributed energy storage units (DESUs) in DC microgrids (DCMGs), this article proposes an improved droop control strategy. First, the droop coefficient of the energy storage device is linked to the SOC nested power function, enabling the energy storage unit to adaptively adjust the droop coefficient according to the SOC during charging and discharging. Second, a variable acceleration factor is introduced to further accelerate the equalization speed when the SOC difference is reduced. Current sharing compensation is added to eliminate the influence of line impedance mismatch on power distribution accuracy and a bus voltage compensation strategy is employed to maintain bus voltage stability. The improved consensus algorithm is used to accelerate the convergence speed of consistency and the information of adjacent nodes is exchanged to obtain the average value of the system. The stability of the system is demonstrated through frequency domain analysis. Finally, the proposed adaptive droop control strategy is validated by numerical simulation and hardware‐in‐the‐loop experiments, proving the effectiveness of the proposed strategy.

International Journal of Energy ResearchVol. 2025(1)
Xi’an University (CN), Xi'an University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 78%
Microgrid Control and Optimization
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Distributed Coordinated Control Strategy of Multienergy Storage in DC Microgrid Based on Improved Consensus Algorithm — Yuhang Yang, Zhi Na, et al. · International Journal of Energy Research (2025) | TGRS Research Map | TGRS