Distributed cooperative control for DC microgrids: A prescribed-time consensus method

This paper proposes a novel distributed hierarchical control strategy based on prescribed-time consensus for DC microgrids, aimed at achieving proportional power allocation and voltage restoration within the preset time. The proposed control method leverages communication among distributed agents to collect voltage and current information, enabling the system to reach consensus within a predetermined time frame. This scheme not only guarantees fast convergence but also ensures that the convergence time is independent of the system’s initial conditions, which is a significant improvement over traditional finite-time and fixed-time consensus methods. Moreover, the prescribed-time control strategy offers flexibility by allowing the convergence time to be adjusted according to specific application requirements, making it more adaptable to real-world conditions. Using the Lyapunov stability theorem, we rigorously prove the stability of the proposed control scheme, ensuring that the system’s dynamic performance remains robust. Compared to existing methods, the proposed strategy reduces the conservativeness in estimating the upper bound of the convergence time, thereby enhancing system stability and improving microgrids’ power quality. The effectiveness of the proposed control approach is further validated through experiments across various scenarios, demonstrating its capability to achieve rapid and reliable consensus in DC microgrids. The results show that the control method can significantly improve the performance of the microgrid under different operating conditions, making it a valuable contribution to the field of distributed energy resource management.