Condition parameter estimation for photovoltaic buck converters based on adaptive model observers

Hdl Handle:
http://hdl.handle.net/10545/621063
Title:
Condition parameter estimation for photovoltaic buck converters based on adaptive model observers
Authors:
Cen, Zhaohui; Stewart, Paul ( 0000-0001-8902-1497 )
Abstract:
DC-DC power converters such as buck converters are susceptible to degradation and failure due to operating under conditions of electrical stress and variable power sources in power conversion applications, such as electric vehicles and renewable energy. Some key components such as electrolytic capacitors degrade over time due to evaporation of the electrolyte. In this paper, a model-observer based scheme is proposed to monitor the states of Buck converters and to estimate their component parameters, such as capacitance and inductance. First, a diagnosis observer is proposed, and the generated residual vectors are applied for fault detection and isolation. Second, component condition parameters, such as capacitance and inductance are reconstructed using another novel observer with adaptive feedback law. Additionally, the observer structures and their theoretical performance are analyzed and proven. In contrast to existing reliability approaches applied in buck converters, the proposed scheme performs online-estimation for key parameters. Finally, buck converters in conventional dc–dc step-down and photovoltaic applications are investigated to test and validate the effectiveness of the proposed scheme in both simulation and laboratory experiments. Results demonstrate the feasibility, performance, and superiority of the proposed component parameter estimation scheme.
Affiliation:
Derby University
Citation:
Cen, Z. and Stewart, P. (2016) 'Condition Parameter Estimation for Photovoltaic Buck Converters Based on Adaptive Model Observers', IEEE Transactions on Reliability, Vol. PP, Issue 99, DOI: 10.1109/TR.2016.2618320
Publisher:
IEEE
Journal:
IEEE Transactions on Reliability
Issue Date:
31-Oct-2016
URI:
http://hdl.handle.net/10545/621063
DOI:
10.1109/TR.2016.2618320
Additional Links:
http://ieeexplore.ieee.org/document/7726061/
Type:
Article
Language:
en
ISSN:
0018-9529
EISSN:
1558-1721
Sponsors:
This paper is an associated output from EU ERDF funded programs Enscite, Enabling Innovation and Low Carbon
Appears in Collections:
Institute for Innovation in Sustainable Engineering

Full metadata record

DC FieldValue Language
dc.contributor.authorCen, Zhaohuien
dc.contributor.authorStewart, Paulen
dc.date.accessioned2016-11-25T11:41:12Z-
dc.date.available2016-11-25T11:41:12Z-
dc.date.issued2016-10-31-
dc.identifier.citationCen, Z. and Stewart, P. (2016) 'Condition Parameter Estimation for Photovoltaic Buck Converters Based on Adaptive Model Observers', IEEE Transactions on Reliability, Vol. PP, Issue 99, DOI: 10.1109/TR.2016.2618320en
dc.identifier.issn0018-9529-
dc.identifier.doi10.1109/TR.2016.2618320-
dc.identifier.urihttp://hdl.handle.net/10545/621063en
dc.description.abstractDC-DC power converters such as buck converters are susceptible to degradation and failure due to operating under conditions of electrical stress and variable power sources in power conversion applications, such as electric vehicles and renewable energy. Some key components such as electrolytic capacitors degrade over time due to evaporation of the electrolyte. In this paper, a model-observer based scheme is proposed to monitor the states of Buck converters and to estimate their component parameters, such as capacitance and inductance. First, a diagnosis observer is proposed, and the generated residual vectors are applied for fault detection and isolation. Second, component condition parameters, such as capacitance and inductance are reconstructed using another novel observer with adaptive feedback law. Additionally, the observer structures and their theoretical performance are analyzed and proven. In contrast to existing reliability approaches applied in buck converters, the proposed scheme performs online-estimation for key parameters. Finally, buck converters in conventional dc–dc step-down and photovoltaic applications are investigated to test and validate the effectiveness of the proposed scheme in both simulation and laboratory experiments. Results demonstrate the feasibility, performance, and superiority of the proposed component parameter estimation scheme.en
dc.description.sponsorshipThis paper is an associated output from EU ERDF funded programs Enscite, Enabling Innovation and Low Carbonen
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/7726061/en
dc.rightsArchived with thanks to IEEE Transactions on Reliabilityen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectObserversen
dc.subjectPower electronicsen
dc.subjectCapacitorsen
dc.subjectInductorsen
dc.titleCondition parameter estimation for photovoltaic buck converters based on adaptive model observersen
dc.typeArticleen
dc.identifier.eissn1558-1721-
dc.contributor.departmentDerby Universityen
dc.identifier.journalIEEE Transactions on Reliabilityen
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