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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Systems Journalarrow_drop_down
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IEEE Systems Journal
Article . 2020 . Peer-reviewed
License: IEEE Copyright
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Voltage/Current Large Transient Suppression in DC Microgrids Using Local Information and Active Stabilizing Capability

Authors: Seyed Mohammad Azimi; Mohsen Hamzeh;

Voltage/Current Large Transient Suppression in DC Microgrids Using Local Information and Active Stabilizing Capability

Abstract

This paper presents a nonlinear control strategy for the suppression of large voltage–current transients in a dc microgrid (dc-MG) with a high penetration of constant power loads (CPLs). The voltages and currents in a dc-MG experience significant transients during large changes in the CPLs with their nonlinear voltage–current characteristics. Herein, an auxiliary nonlinear stabilizer is designed for a super-capacitor (SC) module for actively stabilizing a dc-MG. Due to the limitations in the energy of the SC module; a fuel cell (FC) stack is paralleled with the SC module in the form of a hybrid SC/FC unit to provide the steady-state power demand of dc-MG. The proposed controller is designed using Lyapunov theory and is robust with respect to the output current transients imposed on power converters from the rest of the dc-MG. In the presented control strategy, only one-generation unit is designed and implemented in the form of a hybrid SC/FC unit to suppress the large transients. The proposed stabilizer in the SC module operates based on local information. The effectiveness of the proposed control strategy has been validated in a multisource dc-MG using time domain simulations carried out in MATLAB/Simulink software environment.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%