Distributed Prescribed-Time Adaptive Secondary Control for DC Microgrid: A Dynamic Average Consensus Protocol

Due to the widespread development of microgrid (MG) systems, this paper mainly focuses on the edge-based prescribed-time adaptive secondary control problem for direct current (DC) MG systems. Firstly, a new voltage regulator is designed by the time-varying scaling function and the dynamic average consensus protocol of multi-agent 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. Secondly, 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 paper.