2022
DOI: 10.1109/tpwrd.2021.3112382
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A Hierarchical Small-Signal Controller Stability Analysis Method for the MMCs

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Cited by 15 publications
(6 citation statements)
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“…The graph partitioning method used in this paper is based on the minimum cut -maximum flow theorem [12]. The minimum cut between two graph nodes separating a graph into two parts corresponds to the maximum flow between those nodes 1 .…”
Section: Graph Partitioning Methodsmentioning
confidence: 99%
“…The graph partitioning method used in this paper is based on the minimum cut -maximum flow theorem [12]. The minimum cut between two graph nodes separating a graph into two parts corresponds to the maximum flow between those nodes 1 .…”
Section: Graph Partitioning Methodsmentioning
confidence: 99%
“…The proportional integral (PI) controller for CCSC should first be tuned to ensure the inner stability of MMC [33], [34]. Harmonic transfer functions can then be used to tune the PI parameters for CCSC.…”
Section: B Small-signal Modeling Under Ac-side Perturbationmentioning
confidence: 99%
“…Methodologies to identify and mitigate control interactions have been developed and investigated in the literature [18], [30], [34]. Analyzing the stability of internal converter control loops in the control design stage serves a useful purpose as it attempts to ensure that harmonic instabilities do not occur due to incorrect tuning of the inner control loops [35], [36]. Nevertheless, harmonic stability can mainly be evaluated analytically if full knowledge of the control system is rendered.…”
Section: Control System Partitioningmentioning
confidence: 99%
“…Analysis of the effects of different control loops on converter stability and impedance is a prerequisite to partition the control system. Several papers have analyzed the impact of different control schemes on the impedance of the MMC [14], [17], [30], [35], [37]. In [37], it is shown that the impact of inner current control loops on the dc-side impedance of an MMC is minimal compared to that of the outer loops.…”
Section: Control System Partitioningmentioning
confidence: 99%
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