Blackbox Polytopic Model With Dynamic Weighting Functions for DC-DC Converters
DC electric power distribution is becoming popular due to the proliferation of renewable sources and storage elements in applications such as electric vehicles, ships, aircrafts, microgrids, etc. These systems are characterized by a high integration of power electronic converters. From a system-leve...
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doaj-784646bdd0e6479a82f82de61512344d2021-03-30T00:43:04ZengIEEEIEEE Access2169-35362019-01-01716026316027310.1109/ACCESS.2019.29509838890629Blackbox Polytopic Model With Dynamic Weighting Functions for DC-DC ConvertersAiran Frances0https://orcid.org/0000-0003-3389-0815Rafael Asensi1Javier Uceda2Centro de Electronica Industrial (CEI), Universidad Politécnica de Madrid, Madrid, SpainCentro de Electronica Industrial (CEI), Universidad Politécnica de Madrid, Madrid, SpainCentro de Electronica Industrial (CEI), Universidad Politécnica de Madrid, Madrid, SpainDC electric power distribution is becoming popular due to the proliferation of renewable sources and storage elements in applications such as electric vehicles, ships, aircrafts, microgrids, etc. These systems are characterized by a high integration of power electronic converters. From a system-level perspective, it would be desirable to design this kind of systems using commercial-off-the shelf converters. However, in general, the manufacturers do not provide a behavioral model of the devices in order to analyze the dynamic behavior of the interconnected system before the actual implementation. In the literature, several blackbox modeling techniques have been proposed to overcome this lack of information. This paper proposes the integration of dynamic weighting functions to the polytopic model in order to improve the accuracy of the behavioral models when the input variables change sharply. A boost converter is used as case study and the performance of the proposed model is compared with the most relevant techniques that can be found in the literature.https://ieeexplore.ieee.org/document/8890629/Blackbox modelsdc microgridsdc-dc convertersdynamic interactionselectronic power distributionmodeling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Airan Frances Rafael Asensi Javier Uceda |
spellingShingle |
Airan Frances Rafael Asensi Javier Uceda Blackbox Polytopic Model With Dynamic Weighting Functions for DC-DC Converters IEEE Access Blackbox models dc microgrids dc-dc converters dynamic interactions electronic power distribution modeling |
author_facet |
Airan Frances Rafael Asensi Javier Uceda |
author_sort |
Airan Frances |
title |
Blackbox Polytopic Model With Dynamic Weighting Functions for DC-DC Converters |
title_short |
Blackbox Polytopic Model With Dynamic Weighting Functions for DC-DC Converters |
title_full |
Blackbox Polytopic Model With Dynamic Weighting Functions for DC-DC Converters |
title_fullStr |
Blackbox Polytopic Model With Dynamic Weighting Functions for DC-DC Converters |
title_full_unstemmed |
Blackbox Polytopic Model With Dynamic Weighting Functions for DC-DC Converters |
title_sort |
blackbox polytopic model with dynamic weighting functions for dc-dc converters |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
DC electric power distribution is becoming popular due to the proliferation of renewable sources and storage elements in applications such as electric vehicles, ships, aircrafts, microgrids, etc. These systems are characterized by a high integration of power electronic converters. From a system-level perspective, it would be desirable to design this kind of systems using commercial-off-the shelf converters. However, in general, the manufacturers do not provide a behavioral model of the devices in order to analyze the dynamic behavior of the interconnected system before the actual implementation. In the literature, several blackbox modeling techniques have been proposed to overcome this lack of information. This paper proposes the integration of dynamic weighting functions to the polytopic model in order to improve the accuracy of the behavioral models when the input variables change sharply. A boost converter is used as case study and the performance of the proposed model is compared with the most relevant techniques that can be found in the literature. |
topic |
Blackbox models dc microgrids dc-dc converters dynamic interactions electronic power distribution modeling |
url |
https://ieeexplore.ieee.org/document/8890629/ |
work_keys_str_mv |
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