Large-signal, Black-box Behavioral Modeling of Grid-supporting Power Converters in AC Microgrids

Guarderas Burbano, Galo Fernando and Francés Roger, Airán and Asensi Orosa, Rafael and Uceda Antolín, Javier (2017). Large-signal, Black-box Behavioral Modeling of Grid-supporting Power Converters in AC Microgrids. In: "6th International Conference on Renewable Energy Research and Applications (ICRERA)", Nov 5-8, 2017, San Diego - California (Estados Unidos). ISBN 978-15386-2095-3. pp. 153-158.

Description

Title: Large-signal, Black-box Behavioral Modeling of Grid-supporting Power Converters in AC Microgrids
Author/s:
  • Guarderas Burbano, Galo Fernando
  • Francés Roger, Airán
  • Asensi Orosa, Rafael
  • Uceda Antolín, Javier
Item Type: Presentation at Congress or Conference (Article)
Event Title: 6th International Conference on Renewable Energy Research and Applications (ICRERA)
Event Dates: Nov 5-8, 2017
Event Location: San Diego - California (Estados Unidos)
Title of Book: 6th International Conference on Renewable Energy Research and Applications (ICRERA)
Date: 2017
ISBN: 978-15386-2095-3
Subjects:
Freetext Keywords: Black-box; large-signal; microgrids; power converter modeling
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

Control of power converters in AC microgrids is well understood and established in the literature and in the industry, allowing the high penetration of distributed generation, electrical energy storage systems and controllable loads. These building blocks connected to the grid through power electronic converters open new opportunities to the expansion of microgrids in electrical power systems. A behavioral large-signal nonlinear polytopic model for grid-supporting converters operating as a current source is proposed in this paper. This model is able to represent the nonlinear behavior of the power converter and it is also very well suited for system-level modeling and simulation. The proposed modeling strategy can be easily extended to power converters in any other of the possible operating modes.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainDPI2016-78644-PIDENMREDUnspecifiedSISTEMA DE IDENTIFICACION AUTOMATICA DE MODELOS NO LINEALES EN CAJA NEGRA DE CONVERTIDORES ELECTRONICOS DE POTENCIA EN MICRO-REDES INTELIGENTES DE CORRIENTE CONTINUA

More information

Item ID: 56845
DC Identifier: http://oa.upm.es/56845/
OAI Identifier: oai:oa.upm.es:56845
Official URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8191258
Deposited by: Memoria Investigacion
Deposited on: 17 Oct 2019 14:19
Last Modified: 17 Oct 2019 14:19
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