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Energies 2019, 12(6), 989; https://doi.org/10.3390/en12060989

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

Centro de Electrónica Industrial, Universidad Politécnica de Madrid, 28006 Madrid, Spain
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Received: 12 February 2019 / Revised: 6 March 2019 / Accepted: 9 March 2019 / Published: 14 March 2019
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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. View Full-Text
Keywords: DC-AC power converters; nonlinear dynamical systems; system identification DC-AC power converters; nonlinear dynamical systems; system identification
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Guarderas, G.; Frances, A.; Ramirez, D.; Asensi, R.; Uceda, J. Blackbox Large-Signal Modeling of Grid-Connected DC-AC Electronic Power Converters. Energies 2019, 12, 989.

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