.png){kind=icon}
.png){kind=icon}
Return
Distributed Prescribed-Time Adaptive Secondary Control for DC Microgrid: A Dynamic Average Consensus Protocol
.png){kind=icon}
PRE
AI
DOI：10.1109/JIOT.2026.3660778.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Due to the widespread development of microgrid (MG) systems, this article mainly focuses on the edge-based prescribed-time adaptive secondary control problem for direct current (DC) MG systems. First, a new voltage regulator is designed by the time-varying scaling function and the dynamic average consensus protocol of multiagent systems. Meanwhile, in order to avoid the dependence of the algorithm on the global network information, an edge-based adaptive control update rate is proposed. Second, by applying the prescribed-time stability theory, it is rigorously proven that the bus voltage can be restored to its desired value under the presented voltage regulator within a prescribed time, and the current is allocated according to the droop coefficient ratio. Finally, the effectiveness and feasibility of the proposed algorithm are verified through MATLAB/Simulink simulation under different working conditions, and it is compared with the existing asymptotic consensus algorithm to demonstrate the superiority of the algorithm presented in this article.
Keywords:
Adaptive control
average consensus
DC microgrids (MGs)
distributed secondary control
prescribed time
Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W