PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 19, 2026Energy Reports0 citationsOpen Access

An improved droop control method for enhanced SOC balancing in DC microgrids

View Full Paper
ZZZhi ZhangAZAnan ZhuWHWang Hu

Key Points

  • The central aim is to improve SOC balancing among energy storage units in DC microgrids using an adaptive droop control method.
  • Proposed a droop control strategy incorporating a hyperbolic tangent function.
  • Developed a simulation model using MATLAB/Simulink.
  • Included regulation factors for enhanced control sensitivity.
  • Implemented a bus voltage compensation mechanism for voltage stability.
  • Achieved effective SOC balancing under dynamic conditions.
  • Enhanced load current distribution and DC bus voltage recovery.
  • Marked acceleration in SOC convergence compared to conventional methods.
  • Maintained robust stability across various power fluctuations.

Abstract

This study investigates the state-of-charge (SOC) imbalance among multiple energy storage units (ESUs) operating in parallel within an islanded DC microgrid. To address this issue, an adaptive droop control strategy is proposed. The method introduces a hyperbolic tangent (tanh) function into conventional droop control to dynamically adjust the droop coefficient. By leveraging the function's bounded and continuously differentiable characteristics, the approach achieves smooth and adaptive SOC regulation. Multiple regulation factors are incorporated to collectively enhance control sensitivity under small SOC deviations, and a bus voltage compensation mechanism is included to mitigate voltage fluctuations during power redistribution, thereby maintaining DC bus voltage stability. The control establishes a nonlinear mapping between SOC and virtual impedance, enabling automatic current adjustment for balanced charging and discharging. Finally, this study constructed a simulation model based on MATLAB/Simulink and set up an experimental platform to verify the effectiveness of the proposed strategy. The results show that this method can effectively achieve the balancing of SOC, the reasonable distribution of load current and the recovery of DC bus voltage under dynamic system conditions. In contrast to conventional methods, the presented strategy markedly accelerates SOC convergence while maintaining robust system stability across a range of power fluctuations and operating conditions. • Hyperbolic tangent function enables smooth SOC-adaptive droop adjustment. • Dedicated regulation factors and bus voltage compensation enhance sensitivity and voltage stability. • The strategy outperforms existing methods in SOC balancing, convergence speed, and load sharing.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69e47440010ef96374d90059https://doi.org/10.1016/j.egyr.2026.109326
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Research on Adaptive Droop Control Strategy for a Solar-Storage DC Microgrid2024 · 18 citations
  2. 2A New Multiport DC-DC Converter for DC Microgrid Applications2022 · 94 citations
  3. 3Accurate Power Sharing With Balanced Battery State of Charge in Distributed DC Microgrid2018 · 183 citations
  4. 4Investigation of Adaptive Droop Control Applied to Low-Voltage DC Microgrid2021 · 19 citations
  5. 5Distributed Voltage Restoration and Current Sharing Control in Islanded DC Microgrid Systems Without Continuous Communication2019 · 176 citations