A Distributed Coordination Control Based on Finite-Time Consensus Algorithm for a Cluster of DC Microgrids

A cluster of dc microgrids consisting of multiple interconnected dc microgrids has great potential for improving the reliability and reducing the cost of power generation. In this paper, a distributed coordination control strategy is proposed to overcome a series of problems of centralized control. This control strategy which adopts a hierarchical structure is based on the droop control method, then a modified control formula which achieves multi-objective is introduced to the voltage control and power generation cost control. Besides, a finite-time consensus algorithm is applied to obtain the average value obtained in finite steps. Meanwhile, an estimated connected topology is proposed for better utilisation of the finite-time consensus algorithm and acceleration of the convergence speed. This proposed topology ensures all this control method is a fully distributed one, which does not require the global information previously and has high reliability. By using the MATLAB/Simulink simulation platform, this proposed control strategy is verified in one dc microgrid and a cluster of those containing 4 dc microgrids. The simulation results under different scenarios all indicate the effectiveness of the proposed methods.