Blackbox Large-Signal Modeling of Grid-Connected DC-AC Electronic Power Converters

Modern electric power distribution systems are progressively integrating electronic power converters. However, the design of electronic-power-converter-based systems is not a straightforward task, as the interactions among the different converters can lead to dynamic degradation or instabilities. In...

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Main Authors: Galo Guarderas, Airan Frances, Dionisio Ramirez, Rafael Asensi, Javier Uceda
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/12/6/989
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spelling doaj-fc6625a420224a18a945741cd27609c42020-11-25T02:26:32ZengMDPI AGEnergies1996-10732019-03-0112698910.3390/en12060989en12060989Blackbox Large-Signal Modeling of Grid-Connected DC-AC Electronic Power ConvertersGalo Guarderas0Airan Frances1Dionisio Ramirez2Rafael Asensi3Javier Uceda4Centro de Electrónica Industrial, Universidad Politécnica de Madrid, 28006 Madrid, SpainCentro de Electrónica Industrial, Universidad Politécnica de Madrid, 28006 Madrid, SpainCentro de Electrónica Industrial, Universidad Politécnica de Madrid, 28006 Madrid, SpainCentro de Electrónica Industrial, Universidad Politécnica de Madrid, 28006 Madrid, SpainCentro de Electrónica Industrial, Universidad Politécnica de Madrid, 28006 Madrid, SpainModern electric power distribution systems are progressively integrating electronic power converters. However, the design of electronic-power-converter-based systems is not a straightforward task, as the interactions among the different converters can lead to dynamic degradation or instabilities. In addition, electric power distribution systems are expected to consist of commercial-off-the-shelf converters, which implies limited information about the dynamic behavior of the devices. Large-signal blackbox modeling approaches have been proposed in order to obtain accurate dynamic models of commercial converters that can be used for system-level analyses. However, most of the works are focused on DC-DC converters. In this work, a large-signal blackbox model is proposed to model grid-connected three-phase DC-AC converters. An experimental setup has been used to demonstrate the limitations of small-signal models and the capability of the proposed modeling approach to capture the dynamic behavior of the converter when large perturbations are applied. Finally, the automation of the model identification process is discussed.http://www.mdpi.com/1996-1073/12/6/989DC-AC power convertersnonlinear dynamical systemssystem identification
collection DOAJ
language English
format Article
sources DOAJ
author Galo Guarderas
Airan Frances
Dionisio Ramirez
Rafael Asensi
Javier Uceda
spellingShingle Galo Guarderas
Airan Frances
Dionisio Ramirez
Rafael Asensi
Javier Uceda
Blackbox Large-Signal Modeling of Grid-Connected DC-AC Electronic Power Converters
Energies
DC-AC power converters
nonlinear dynamical systems
system identification
author_facet Galo Guarderas
Airan Frances
Dionisio Ramirez
Rafael Asensi
Javier Uceda
author_sort Galo Guarderas
title Blackbox Large-Signal Modeling of Grid-Connected DC-AC Electronic Power Converters
title_short Blackbox Large-Signal Modeling of Grid-Connected DC-AC Electronic Power Converters
title_full Blackbox Large-Signal Modeling of Grid-Connected DC-AC Electronic Power Converters
title_fullStr Blackbox Large-Signal Modeling of Grid-Connected DC-AC Electronic Power Converters
title_full_unstemmed Blackbox Large-Signal Modeling of Grid-Connected DC-AC Electronic Power Converters
title_sort blackbox large-signal modeling of grid-connected dc-ac electronic power converters
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2019-03-01
description Modern electric power distribution systems are progressively integrating electronic power converters. However, the design of electronic-power-converter-based systems is not a straightforward task, as the interactions among the different converters can lead to dynamic degradation or instabilities. In addition, electric power distribution systems are expected to consist of commercial-off-the-shelf converters, which implies limited information about the dynamic behavior of the devices. Large-signal blackbox modeling approaches have been proposed in order to obtain accurate dynamic models of commercial converters that can be used for system-level analyses. However, most of the works are focused on DC-DC converters. In this work, a large-signal blackbox model is proposed to model grid-connected three-phase DC-AC converters. An experimental setup has been used to demonstrate the limitations of small-signal models and the capability of the proposed modeling approach to capture the dynamic behavior of the converter when large perturbations are applied. Finally, the automation of the model identification process is discussed.
topic DC-AC power converters
nonlinear dynamical systems
system identification
url http://www.mdpi.com/1996-1073/12/6/989
work_keys_str_mv AT galoguarderas blackboxlargesignalmodelingofgridconnecteddcacelectronicpowerconverters
AT airanfrances blackboxlargesignalmodelingofgridconnecteddcacelectronicpowerconverters
AT dionisioramirez blackboxlargesignalmodelingofgridconnecteddcacelectronicpowerconverters
AT rafaelasensi blackboxlargesignalmodelingofgridconnecteddcacelectronicpowerconverters
AT javieruceda blackboxlargesignalmodelingofgridconnecteddcacelectronicpowerconverters
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