2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020) 2020
DOI: 10.1109/pesgre45664.2020.9070734
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Consensus Algorithm based Two-Level Control Design for a DC Microgrid

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Cited by 8 publications
(16 citation statements)
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“…The suggested strategy's performance is independent of network architecture, and it may be used to both radial and non-radial power grids of various sizes, as well as any number of MGs. Further, a twolevel distributed control framework for an MGC is designed in [34], with a droop control working at the local control level and a consensus algorithm running at the global level. In both dynamic and stable situations, the consensus-droop-based control approach has been found to be capable of regulating the DC-link voltage with precise current sharing across several DC converters.…”
Section: Distributed Control Methodsmentioning
confidence: 99%
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“…The suggested strategy's performance is independent of network architecture, and it may be used to both radial and non-radial power grids of various sizes, as well as any number of MGs. Further, a twolevel distributed control framework for an MGC is designed in [34], with a droop control working at the local control level and a consensus algorithm running at the global level. In both dynamic and stable situations, the consensus-droop-based control approach has been found to be capable of regulating the DC-link voltage with precise current sharing across several DC converters.…”
Section: Distributed Control Methodsmentioning
confidence: 99%
“…It can be noticed that the information of all participant units in the system needs to be transferred to the global control layer to send a proper signal reference to the local control layer, and this requires a complex communication network, so the costs of communication construction are increased. Further, the proposed methods in [34,76] have not been examined under some operating conditions such as RES/load uncertainty, and fault conditions, communication delays to efficiently assess their effectiveness to be applied in real-life scenarios.…”
Section: Distributed Control Methodsmentioning
confidence: 99%
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