2019
DOI: 10.1109/tcst.2018.2863645
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Approximate Kron Reduction Methods for Electrical Networks With Applications to Plug-and-Play Control of AC Islanded Microgrids

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Cited by 27 publications
(10 citation statements)
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“…It is based on obtaining a reduced plant for each inverter, and then deriving a family of plants Y family (s), that encompasses all the system uncertainties around a nominal plant Y nominal (s). The reduction technique chosen here models each inverter preserving the low-frequency dynamics when it operates in an islanded microgrid [33,34]. The reduced models will facilitate the controller derivation using the well-known robust control design methodology [35][36][37].…”
Section: Microgrid Modelling Proceduresmentioning
confidence: 99%
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“…It is based on obtaining a reduced plant for each inverter, and then deriving a family of plants Y family (s), that encompasses all the system uncertainties around a nominal plant Y nominal (s). The reduction technique chosen here models each inverter preserving the low-frequency dynamics when it operates in an islanded microgrid [33,34]. The reduced models will facilitate the controller derivation using the well-known robust control design methodology [35][36][37].…”
Section: Microgrid Modelling Proceduresmentioning
confidence: 99%
“…The first step in this modelling technique is to particularize the linear transfer function (17) for each inverter under different fault conditions and to reduce it to a first-order system [33].…”
Section: Microgrid Modelling Proceduresmentioning
confidence: 99%
“…In practice, the electrical network connecting DG i and DG j is usually more complicated. However, it is reasonable to model each single MG system by using approximate modeling approaches, where the line impedance is modeled as the equivalent impedance of the network 28,29 …”
Section: Problem Formulationmentioning
confidence: 99%
“…Afterwards, since existing approaches to instantaneous Kron reduction can fail in preserving the structure of transfer functions representing power lines, ref. [15] proposed two approximate Kron reduction algorithms capable of representing exactly the asymptotic behavior of electric signals. In addition, some improved Kron reduction methods are applied to microgrid reconfiguration [16], distribution systems modeling [17,18], and network dispatching.…”
Section: Introductionmentioning
confidence: 99%