.png){kind=icon}
.png){kind=icon}
Return
Distributed Large-Signal Stability Analysis and Stabilization for DC Microgrid Clusters
.png){kind=icon}
PRE
AI
S
L
J
W
Q
X
DOI：10.1109/tsg.2026.3664491.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
DC microgrid clusters (DCMGCs) enhance resilience and efficiency but face significant large-signal stability challenges due to growing integration of distributed energy sources and power electronics, exacerbated by inter-subgrid couplings that remain poorly understood. This work proposes a novel distributed approach for large-signal stability analysis and stabilization of DCMGCs. The core methodology focuses on individual DC microgrids and their coupling interactions. With the decomposition-aggregation fashion, scalar Lyapunov functions are employed to derive distributed stability criteria, and two metrics (stability strength and connectivity strength) and the associated decoupling ratio are introduced to explicitly quantify the impact of coupling dynamics on system stability. Based on the identified relationships between power flow control coefficients and system stability, key parameters are optimally designed to ensure system-wide stable operation. Compared to centralized methods requiring global states, this approach reduces modeling complexity, enhances scalability, and lowers conservatism. The effectiveness of the proposed approach is validated through numerical and hardware-in-the-loop experiments.
Keywords:
DC microgrid cluster
distributed modeling
large-signal stability
scalability
scalar Lyapunov function
Journal
IF:
9.8
Papers:
5.6K
Citations:
4.3W
Organization
Cited Papers