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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....
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Published in: | IEEE transactions on power systems 2019-05, Vol.34 (3), p.2205-2215 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | 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. |
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ISSN: | 0885-8950 1558-0679 |
DOI: | 10.1109/TPWRS.2018.2878769 |