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

Guarderas Burbano, Galo Fernando and Francés Roger, Airán and Ramírez Prieto, Dionisio and Asensi Orosa, Rafael and Uceda Antolín, Javier (2019). Blackbox Large-Signal Modeling of Grid-Connected DC-AC Electronic Power Converters. "Energies", v. 12 (n. 6); pp. 1-22. ISSN 1996-1073. https://doi.org/10.3390/en12060989.

Description

Title: Blackbox Large-Signal Modeling of Grid-Connected DC-AC Electronic Power Converters
Author/s:
  • Guarderas Burbano, Galo Fernando
  • Francés Roger, Airán
  • Ramírez Prieto, Dionisio
  • Asensi Orosa, Rafael
  • Uceda Antolín, Javier
Item Type: Article
Título de Revista/Publicación: Energies
Date: March 2019
ISSN: 1996-1073
Volume: 12
Subjects:
Freetext Keywords: DC-AC power converters; nonlinear dynamical systems; system identification
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainDPI2016-78644-PUnspecifiedUnspecifiedSistema de identificación automática de modelos no lineales en caja negra de convertidores electrónicos de potencia en micro-redes inteligentes de corriente continua

More information

Item ID: 56552
DC Identifier: http://oa.upm.es/56552/
OAI Identifier: oai:oa.upm.es:56552
DOI: 10.3390/en12060989
Official URL: https://www.mdpi.com/1996-1073/12/6/989
Deposited by: Memoria Investigacion
Deposited on: 25 Sep 2019 13:54
Last Modified: 17 Oct 2019 13:58
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