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...

Full description

Bibliographic Details
Main Authors: Airan Frances, Rafael Asensi, Javier Uceda
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8890629/
id doaj-784646bdd0e6479a82f82de61512344d
record_format Article
spelling 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 AT airanfrances blackboxpolytopicmodelwithdynamicweightingfunctionsfordcdcconverters
AT rafaelasensi blackboxpolytopicmodelwithdynamicweightingfunctionsfordcdcconverters
AT javieruceda blackboxpolytopicmodelwithdynamicweightingfunctionsfordcdcconverters
_version_ 1724187924516306944