Research on Distributed Cooperative Control Strategy of
The MATLAB/Simulink modeling and simulation results prove the correctness and effectiveness of the proposed control strategy. Keywords: DC microgrid; hybrid energy storage; adaptive event
The MATLAB/Simulink modeling and simulation results prove the correctness and effectiveness of the proposed control strategy. Keywords: DC microgrid; hybrid energy storage; adaptive event
Jul 30, 2025 · 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
Sep 23, 2024 · To enhance the high-reliability operation capability of reconfigurable battery energy storage systems, a distributed cooperative control method of reconfigurable battery
Jan 13, 2024 · 3. collaborative laborative control agent theory On the one architecture control architecture for energy storage, as shown in Figure 3. with hand, distributed for the energy
Mar 1, 2023 · Second, according to the energy storage characteristics of distributed energy storage, a collaborative optimization model of distributed energy storage was established by
Zheng ZHOU. Real time monitoring of electricity consumption information and collaborative control of distributed energy storage systems in smart grids [J]. Energy Storage Science and
May 22, 2025 · With the increasing integration of renewable energy sources, distributed shared energy storage (DSES) systems play a critical role in
Jun 1, 2025 · This paper proposes a distributed collaborative planning model for energy storage, transmission and distribution networks considering the characteristics of long-term h-ESSs
On the basis of completing the system hardware and software, this article presents the architecture of a decentralized energy storage collaborative control system and develops an
May 22, 2025 · With the increasing integration of renewable energy sources, distributed shared energy storage (DSES) systems play a critical role in enhancing power system flexibility,
Oct 27, 2024 · With the rapid development of new energy sources, issues related to transaction transparency and security in distributed energy systems have become increasingly prominent.
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However, this control method is rather complicated. In , a virtual DC machine (VDCM) control strategy for the battery energy storage system based on SOC is proposed. This strategy boosts the inertia of the DC bus voltage while attaining SOC balance. The studies in [6 – 10] adopt a centralized 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.
In the first stage (t = 0–20 s), the energy storage discharge power is 8 kW. In the second stage (t = 20–30 s), the energy storage system discharge power increases to 10 kW. During the third stage (t = 30–35 s), the discharge power decreases to 6 kW. In the fourth stage (t = 35–45 s), the discharge power further decreases to 1 kW.
The experimental results demonstrate that the energy storage system can work stably in both charge and discharge modes, effectively maintaining the power balance of the microgrid. When the load power fluctuates, the bus voltage fluctuates but quickly returns to the rated voltage of 400 V.