2020
DOI: 10.1109/tpwrs.2020.2975378
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Distributed Global Economical Load Sharing for a Cluster of DC Microgrids

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Cited by 34 publications
(21 citation statements)
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“…Where the better accuracy of current distribution and the larger voltage deviations occur, the higher the droop coefficient, and vice versa, which implies the droop coefficient value selects the controller's intrinsic trade-off [36]. This control method is mostly used in coordinating DGs in each DCMG within a cluster, as shown in [27,60,78,80,87,88]. In each microgrid within a cluster, a virtual resistance loop that embodies droop control is constructed on the outer loop of the local control layer, which allows various sources to be connected in parallel, hence sharing load current among units in the system.…”
Section: B Traditional Droop Controlmentioning
confidence: 99%
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“…Where the better accuracy of current distribution and the larger voltage deviations occur, the higher the droop coefficient, and vice versa, which implies the droop coefficient value selects the controller's intrinsic trade-off [36]. This control method is mostly used in coordinating DGs in each DCMG within a cluster, as shown in [27,60,78,80,87,88]. In each microgrid within a cluster, a virtual resistance loop that embodies droop control is constructed on the outer loop of the local control layer, which allows various sources to be connected in parallel, hence sharing load current among units in the system.…”
Section: B Traditional Droop Controlmentioning
confidence: 99%
“…Noteworthy advancements were achieved in evolving distributed controllers for interconnected DC MGs, which can work in either off-grid or on-grid configurations. To achieve the key objectives, non-pinning distributed secondary controllers must be capable of achieving both effective voltage adjustment and proportionate load sharing across the local DGs while remaining resilient to communication connection unpredictability as well as cyberattacks and other threats [87]. In this technique, the non-pinning distributed protocol at each agent can be expressed in Equations ( 3) and ( 4) as follows:…”
Section: Secondary Control Layermentioning
confidence: 99%
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