Characterization of DC series arc faults in PV systems based on current low frequency spectral analysis

•An experimental characterization of DC series arc faults in PV systems is presented.•Arcing and non-arcing current signals are acquired and compared.•The behavior of indicators based on low frequency spectral analysis is studied.•The impact of measurement equipment on indicators effectiveness is in...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Measurement : journal of the International Measurement Confederation 2021-09, Vol.182, p.109770, Article 109770
Hauptverfasser: Artale, Giovanni, Caravello, Giuseppe, Cataliotti, Antonio, Cosentino, Valentina, Di Cara, Dario, Guaiana, Salvatore, Panzavecchia, Nicola, Tinè, Giovanni
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page 109770
container_title Measurement : journal of the International Measurement Confederation
container_volume 182
creator Artale, Giovanni
Caravello, Giuseppe
Cataliotti, Antonio
Cosentino, Valentina
Di Cara, Dario
Guaiana, Salvatore
Panzavecchia, Nicola
Tinè, Giovanni
description •An experimental characterization of DC series arc faults in PV systems is presented.•Arcing and non-arcing current signals are acquired and compared.•The behavior of indicators based on low frequency spectral analysis is studied.•The impact of measurement equipment on indicators effectiveness is investigated. This work presents an experimental study focused on the characterization of series arc faults in direct current (DC) photovoltaic (PV) systems. The aim of the study is to identify some relevant characteristics of arcing current, which can be obtained by means of low frequency spectral analysis of current signal. On field tests have been carried out on a real PV system, in accordance with some tests requirements of UL 1699B Standard for protection devices against PV DC arc faults. Arcing and non-arcing current signals are acquired and compared and the behavior of a set of indicators proposed by authors is analyzed. Different measurement equipment have been used, in order to study the impact of both measurement transducers and data acquisition systems on proposed indicators effectiveness. Presented results show that the considered indicators are suitable for detecting the arc presence even with commercial devices normally used for smart metering applications.
doi_str_mv 10.1016/j.measurement.2021.109770
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2569692264</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0263224121007259</els_id><sourcerecordid>2569692264</sourcerecordid><originalsourceid>FETCH-LOGICAL-c400t-49de94562b9b763056ade3d5e61fd9ab40cb681a2343d72fc14c3296bf04db013</originalsourceid><addsrcrecordid>eNqNUMtOwzAQtBBIlMI_GHFO8atOfUThKVWCAyBulmNvwFWaFG8CKl-PUTlw5LTSaGZ2Zgg55WzGGdfnq9kaHI4J1tANM8EEz7gpS7ZHJnxRykJx8bJPJkxoWQih-CE5QlwxxrQ0ekJeqzeXnB8gxS83xL6jfUMvK4oZAKQuedq4sR2Qxo4-PFPc4gBrpLVDCDTT_ZhSfk3b_pM2Cd5H6PyW4gb8kFxLXefaLUY8JgeNaxFOfu-UPF1fPVa3xfL-5q66WBZeMTYUygQwaq5FbepSSzbXLoAMc9C8CcbVivlaL7gTUslQisZz5aUwum6YCjXjckrOdr6b1OcsONhVP6YcAq2Ya6ONEFplltmxfOoREzR2k-Lapa3lzP7salf2z672Z1e72zVrq50Wco2PCMmij7k0hJhyaRv6-A-Xb2SXiIc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2569692264</pqid></control><display><type>article</type><title>Characterization of DC series arc faults in PV systems based on current low frequency spectral analysis</title><source>Elsevier ScienceDirect Journals</source><creator>Artale, Giovanni ; Caravello, Giuseppe ; Cataliotti, Antonio ; Cosentino, Valentina ; Di Cara, Dario ; Guaiana, Salvatore ; Panzavecchia, Nicola ; Tinè, Giovanni</creator><creatorcontrib>Artale, Giovanni ; Caravello, Giuseppe ; Cataliotti, Antonio ; Cosentino, Valentina ; Di Cara, Dario ; Guaiana, Salvatore ; Panzavecchia, Nicola ; Tinè, Giovanni</creatorcontrib><description>•An experimental characterization of DC series arc faults in PV systems is presented.•Arcing and non-arcing current signals are acquired and compared.•The behavior of indicators based on low frequency spectral analysis is studied.•The impact of measurement equipment on indicators effectiveness is investigated. This work presents an experimental study focused on the characterization of series arc faults in direct current (DC) photovoltaic (PV) systems. The aim of the study is to identify some relevant characteristics of arcing current, which can be obtained by means of low frequency spectral analysis of current signal. On field tests have been carried out on a real PV system, in accordance with some tests requirements of UL 1699B Standard for protection devices against PV DC arc faults. Arcing and non-arcing current signals are acquired and compared and the behavior of a set of indicators proposed by authors is analyzed. Different measurement equipment have been used, in order to study the impact of both measurement transducers and data acquisition systems on proposed indicators effectiveness. Presented results show that the considered indicators are suitable for detecting the arc presence even with commercial devices normally used for smart metering applications.</description><identifier>ISSN: 0263-2241</identifier><identifier>EISSN: 1873-412X</identifier><identifier>DOI: 10.1016/j.measurement.2021.109770</identifier><language>eng</language><publisher>London: Elsevier Ltd</publisher><subject>Arc fault detection ; Direct current ; Electric currents ; Electrical safety ; Fault diagnosis ; Fault tolerance ; Faults ; Field tests ; Frequency analysis ; Indicators ; Low frequencies ; Measurement ; Metering ; Photovoltaic cells ; PV systems ; Series arcs ; Spectrum analysis ; Studies ; System effectiveness ; Transducers ; UL 1699B</subject><ispartof>Measurement : journal of the International Measurement Confederation, 2021-09, Vol.182, p.109770, Article 109770</ispartof><rights>2021</rights><rights>Copyright Elsevier Science Ltd. Sep 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-49de94562b9b763056ade3d5e61fd9ab40cb681a2343d72fc14c3296bf04db013</citedby><cites>FETCH-LOGICAL-c400t-49de94562b9b763056ade3d5e61fd9ab40cb681a2343d72fc14c3296bf04db013</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.measurement.2021.109770$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974</link.rule.ids></links><search><creatorcontrib>Artale, Giovanni</creatorcontrib><creatorcontrib>Caravello, Giuseppe</creatorcontrib><creatorcontrib>Cataliotti, Antonio</creatorcontrib><creatorcontrib>Cosentino, Valentina</creatorcontrib><creatorcontrib>Di Cara, Dario</creatorcontrib><creatorcontrib>Guaiana, Salvatore</creatorcontrib><creatorcontrib>Panzavecchia, Nicola</creatorcontrib><creatorcontrib>Tinè, Giovanni</creatorcontrib><title>Characterization of DC series arc faults in PV systems based on current low frequency spectral analysis</title><title>Measurement : journal of the International Measurement Confederation</title><description>•An experimental characterization of DC series arc faults in PV systems is presented.•Arcing and non-arcing current signals are acquired and compared.•The behavior of indicators based on low frequency spectral analysis is studied.•The impact of measurement equipment on indicators effectiveness is investigated. This work presents an experimental study focused on the characterization of series arc faults in direct current (DC) photovoltaic (PV) systems. The aim of the study is to identify some relevant characteristics of arcing current, which can be obtained by means of low frequency spectral analysis of current signal. On field tests have been carried out on a real PV system, in accordance with some tests requirements of UL 1699B Standard for protection devices against PV DC arc faults. Arcing and non-arcing current signals are acquired and compared and the behavior of a set of indicators proposed by authors is analyzed. Different measurement equipment have been used, in order to study the impact of both measurement transducers and data acquisition systems on proposed indicators effectiveness. Presented results show that the considered indicators are suitable for detecting the arc presence even with commercial devices normally used for smart metering applications.</description><subject>Arc fault detection</subject><subject>Direct current</subject><subject>Electric currents</subject><subject>Electrical safety</subject><subject>Fault diagnosis</subject><subject>Fault tolerance</subject><subject>Faults</subject><subject>Field tests</subject><subject>Frequency analysis</subject><subject>Indicators</subject><subject>Low frequencies</subject><subject>Measurement</subject><subject>Metering</subject><subject>Photovoltaic cells</subject><subject>PV systems</subject><subject>Series arcs</subject><subject>Spectrum analysis</subject><subject>Studies</subject><subject>System effectiveness</subject><subject>Transducers</subject><subject>UL 1699B</subject><issn>0263-2241</issn><issn>1873-412X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqNUMtOwzAQtBBIlMI_GHFO8atOfUThKVWCAyBulmNvwFWaFG8CKl-PUTlw5LTSaGZ2Zgg55WzGGdfnq9kaHI4J1tANM8EEz7gpS7ZHJnxRykJx8bJPJkxoWQih-CE5QlwxxrQ0ekJeqzeXnB8gxS83xL6jfUMvK4oZAKQuedq4sR2Qxo4-PFPc4gBrpLVDCDTT_ZhSfk3b_pM2Cd5H6PyW4gb8kFxLXefaLUY8JgeNaxFOfu-UPF1fPVa3xfL-5q66WBZeMTYUygQwaq5FbepSSzbXLoAMc9C8CcbVivlaL7gTUslQisZz5aUwum6YCjXjckrOdr6b1OcsONhVP6YcAq2Ya6ONEFplltmxfOoREzR2k-Lapa3lzP7salf2z672Z1e72zVrq50Wco2PCMmij7k0hJhyaRv6-A-Xb2SXiIc</recordid><startdate>202109</startdate><enddate>202109</enddate><creator>Artale, Giovanni</creator><creator>Caravello, Giuseppe</creator><creator>Cataliotti, Antonio</creator><creator>Cosentino, Valentina</creator><creator>Di Cara, Dario</creator><creator>Guaiana, Salvatore</creator><creator>Panzavecchia, Nicola</creator><creator>Tinè, Giovanni</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202109</creationdate><title>Characterization of DC series arc faults in PV systems based on current low frequency spectral analysis</title><author>Artale, Giovanni ; Caravello, Giuseppe ; Cataliotti, Antonio ; Cosentino, Valentina ; Di Cara, Dario ; Guaiana, Salvatore ; Panzavecchia, Nicola ; Tinè, Giovanni</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c400t-49de94562b9b763056ade3d5e61fd9ab40cb681a2343d72fc14c3296bf04db013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Arc fault detection</topic><topic>Direct current</topic><topic>Electric currents</topic><topic>Electrical safety</topic><topic>Fault diagnosis</topic><topic>Fault tolerance</topic><topic>Faults</topic><topic>Field tests</topic><topic>Frequency analysis</topic><topic>Indicators</topic><topic>Low frequencies</topic><topic>Measurement</topic><topic>Metering</topic><topic>Photovoltaic cells</topic><topic>PV systems</topic><topic>Series arcs</topic><topic>Spectrum analysis</topic><topic>Studies</topic><topic>System effectiveness</topic><topic>Transducers</topic><topic>UL 1699B</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Artale, Giovanni</creatorcontrib><creatorcontrib>Caravello, Giuseppe</creatorcontrib><creatorcontrib>Cataliotti, Antonio</creatorcontrib><creatorcontrib>Cosentino, Valentina</creatorcontrib><creatorcontrib>Di Cara, Dario</creatorcontrib><creatorcontrib>Guaiana, Salvatore</creatorcontrib><creatorcontrib>Panzavecchia, Nicola</creatorcontrib><creatorcontrib>Tinè, Giovanni</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><jtitle>Measurement : journal of the International Measurement Confederation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Artale, Giovanni</au><au>Caravello, Giuseppe</au><au>Cataliotti, Antonio</au><au>Cosentino, Valentina</au><au>Di Cara, Dario</au><au>Guaiana, Salvatore</au><au>Panzavecchia, Nicola</au><au>Tinè, Giovanni</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterization of DC series arc faults in PV systems based on current low frequency spectral analysis</atitle><jtitle>Measurement : journal of the International Measurement Confederation</jtitle><date>2021-09</date><risdate>2021</risdate><volume>182</volume><spage>109770</spage><pages>109770-</pages><artnum>109770</artnum><issn>0263-2241</issn><eissn>1873-412X</eissn><abstract>•An experimental characterization of DC series arc faults in PV systems is presented.•Arcing and non-arcing current signals are acquired and compared.•The behavior of indicators based on low frequency spectral analysis is studied.•The impact of measurement equipment on indicators effectiveness is investigated. This work presents an experimental study focused on the characterization of series arc faults in direct current (DC) photovoltaic (PV) systems. The aim of the study is to identify some relevant characteristics of arcing current, which can be obtained by means of low frequency spectral analysis of current signal. On field tests have been carried out on a real PV system, in accordance with some tests requirements of UL 1699B Standard for protection devices against PV DC arc faults. Arcing and non-arcing current signals are acquired and compared and the behavior of a set of indicators proposed by authors is analyzed. Different measurement equipment have been used, in order to study the impact of both measurement transducers and data acquisition systems on proposed indicators effectiveness. Presented results show that the considered indicators are suitable for detecting the arc presence even with commercial devices normally used for smart metering applications.</abstract><cop>London</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.measurement.2021.109770</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0263-2241
ispartof Measurement : journal of the International Measurement Confederation, 2021-09, Vol.182, p.109770, Article 109770
issn 0263-2241
1873-412X
language eng
recordid cdi_proquest_journals_2569692264
source Elsevier ScienceDirect Journals
subjects Arc fault detection
Direct current
Electric currents
Electrical safety
Fault diagnosis
Fault tolerance
Faults
Field tests
Frequency analysis
Indicators
Low frequencies
Measurement
Metering
Photovoltaic cells
PV systems
Series arcs
Spectrum analysis
Studies
System effectiveness
Transducers
UL 1699B
title Characterization of DC series arc faults in PV systems based on current low frequency spectral analysis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T08%3A02%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Characterization%20of%20DC%20series%20arc%20faults%20in%20PV%20systems%20based%20on%20current%20low%20frequency%20spectral%20analysis&rft.jtitle=Measurement%20:%20journal%20of%20the%20International%20Measurement%20Confederation&rft.au=Artale,%20Giovanni&rft.date=2021-09&rft.volume=182&rft.spage=109770&rft.pages=109770-&rft.artnum=109770&rft.issn=0263-2241&rft.eissn=1873-412X&rft_id=info:doi/10.1016/j.measurement.2021.109770&rft_dat=%3Cproquest_cross%3E2569692264%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2569692264&rft_id=info:pmid/&rft_els_id=S0263224121007259&rfr_iscdi=true