On distributed consensus algorithms and their application to power sharing in DC microgrids

2020 ◽  
Author(s):  
Chris Zevenbergen ◽  
Sergio Grammatico
Keyword(s):  
Power Sharing ◽  
Distributed Consensus ◽  
Consensus Algorithms ◽  
Dc Microgrids

Accelerate Convergence Rate of Distributed Consensus Algorithm with Optimized Topology

2014 ◽  
Vol 511-512 ◽  
pp. 950-953
Author(s):  
Huan Xin Peng ◽  
Wen Kai Wang ◽  
Bin Liu
Keyword(s):  
Convergence Rate ◽  
Large Scale ◽  
Nearest Neighbor ◽  
Consensus Algorithm ◽  
Algebraic Connectivity ◽  
Distributed Consensus ◽  
Consensus Algorithms ◽  
New Model ◽  
Accelerate Convergence ◽  
Topology Model

The convergence rate is very important in the distributed consensus problems, especially, for the distributed consensus algorithms based on large-scale complex networks. In order to accelerate the convergence rate of the distributed consensus algorithms, in the paper, we propose an optimized topology model by adding randomly a few shortcuts to the nearest neighbor coupling networks, and the shortcuts follow a normal distribution. By analyses and simulations, the results show that the algebraic connectivity of the new model is bigger than that of the NMW model, and the convergence rate of the distributed consensus based on the new model is higher than that based on the NMW model

A unified control strategy for power sharing and voltage balancing in bipolar DC microgrids

2017 ◽  
Vol 11 ◽  
pp. 58-68 ◽  
Author(s):  
Saman Dadjo Tavakoli ◽  
Mohammad Mahdavyfakhr ◽  
Mohsen Hamzeh ◽  
Keyhan Sheshyekani ◽  
Ebrahim Afjei
Keyword(s):  
Control Strategy ◽  
Power Sharing ◽  
Voltage Balancing ◽  
Dc Microgrids
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