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

• Published in: IEEE transactions on power systems 2019-05, Vol.34 (3), p.2205-2215
• Main Authors: Li, Yilin, Dong, Ping, Liu, Mingbo, Yang, Guokang
• Format: Article
• Language: English
• Subjects: Acceleration; Algorithms; Clusters; Computer simulation; Convergence; Coordination; DC Microgrid; distributed control; Distributed generation; Electric power generation; Electric power grids; finite-time consensus; hierarchical control; Microgrids; Nickel; Power generation; Reliability; Strategy; Structural hierarchy; Topology; Voltage control
• ISSN: 0885-8950; 1558-0679
• DOI: 10.1109/TPWRS.2018.2878769

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.