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Article: Online Monitoring of Aluminum Electrolytic Capacitors in Photovoltaic Systems by Magnetoresistive Sensors

TitleOnline Monitoring of Aluminum Electrolytic Capacitors in Photovoltaic Systems by Magnetoresistive Sensors
Authors
KeywordsTemperature measurement
Magnetic sensors
Temperature sensors
Power electronics
Sensor systems
Issue Date2019
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361
Citation
IEEE Sensors Journal, 2019, v. 20 n. 2, p. 767-777 How to Cite?
AbstractDue to the environmental concerns and new energy policies, worldwide expectations for energy production utilizing photovoltaic (PV) systems are increasing significantly. The aluminum electrolytic capacitor (AEC) is extensively used in filtering application for power electronic converters in PV systems since they can achieve the highest energy density with the lowest cost. However, the lifetime of an AEC is limited due to the electrolyte vaporization. The degradation of AECs challenges the efficiency and reliability of a PV system. Therefore, the health-monitoring of AECs is indispensable for the PV systems to operate reliably. In this paper, an online AEC-monitoring scheme based on magnetic-field sensing is proposed for PV systems under various working conditions. The AEC-monitoring technique using the equivalent series resistance (ESR) and capacitance (C) as the health indicators were developed for the power electronic converters in PV systems. The proposed methodology considering the voltage drops on C can improve the accuracy in ESR-estimation and achieve the estimation of C. The simulation results with Simulink verified that the proposed method was capable of estimating the health indicators accurately over various levels of solar irradiance and ambient temperature. The tunneling magnetoresistive (TMR) sensors were pre-calibrated from -25 to 100°C for implementation in PV systems. The experimental results proved that TMR sensors could measure the current of AECs effectively to achieve the precise estimations of the health indicators using the proposed technique. This technique is non-invasive, compact, and cost-effective since it can be realized with the TMR sensors or other MR sensors.
Persistent Identifierhttp://hdl.handle.net/10722/289694
ISSN
2021 Impact Factor: 4.325
2020 SCImago Journal Rankings: 0.681
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorMIAO, W-
dc.contributor.authorLam, KH-
dc.contributor.authorPong, PWT-
dc.date.accessioned2020-10-22T08:16:07Z-
dc.date.available2020-10-22T08:16:07Z-
dc.date.issued2019-
dc.identifier.citationIEEE Sensors Journal, 2019, v. 20 n. 2, p. 767-777-
dc.identifier.issn1530-437X-
dc.identifier.urihttp://hdl.handle.net/10722/289694-
dc.description.abstractDue to the environmental concerns and new energy policies, worldwide expectations for energy production utilizing photovoltaic (PV) systems are increasing significantly. The aluminum electrolytic capacitor (AEC) is extensively used in filtering application for power electronic converters in PV systems since they can achieve the highest energy density with the lowest cost. However, the lifetime of an AEC is limited due to the electrolyte vaporization. The degradation of AECs challenges the efficiency and reliability of a PV system. Therefore, the health-monitoring of AECs is indispensable for the PV systems to operate reliably. In this paper, an online AEC-monitoring scheme based on magnetic-field sensing is proposed for PV systems under various working conditions. The AEC-monitoring technique using the equivalent series resistance (ESR) and capacitance (C) as the health indicators were developed for the power electronic converters in PV systems. The proposed methodology considering the voltage drops on C can improve the accuracy in ESR-estimation and achieve the estimation of C. The simulation results with Simulink verified that the proposed method was capable of estimating the health indicators accurately over various levels of solar irradiance and ambient temperature. The tunneling magnetoresistive (TMR) sensors were pre-calibrated from -25 to 100°C for implementation in PV systems. The experimental results proved that TMR sensors could measure the current of AECs effectively to achieve the precise estimations of the health indicators using the proposed technique. This technique is non-invasive, compact, and cost-effective since it can be realized with the TMR sensors or other MR sensors.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361-
dc.relation.ispartofIEEE Sensors Journal-
dc.rightsIEEE Sensors Journal. Copyright © IEEE.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectTemperature measurement-
dc.subjectMagnetic sensors-
dc.subjectTemperature sensors-
dc.subjectPower electronics-
dc.subjectSensor systems-
dc.titleOnline Monitoring of Aluminum Electrolytic Capacitors in Photovoltaic Systems by Magnetoresistive Sensors-
dc.typeArticle-
dc.identifier.emailLam, KH: samkhlam@hku.hk-
dc.identifier.emailPong, PWT: ppong@hkucc.hku.hk-
dc.identifier.authorityPong, PWT=rp00217-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/JSEN.2019.2945943-
dc.identifier.scopuseid_2-s2.0-85078347054-
dc.identifier.hkuros316418-
dc.identifier.volume20-
dc.identifier.issue2-
dc.identifier.spage767-
dc.identifier.epage777-
dc.identifier.isiWOS:000522345700024-
dc.publisher.placeUnited States-
dc.identifier.issnl1530-437X-

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