Detection and Localization of Disconnections in a Large-Scale String of Photovoltaics Using SSTDR
In this paper, we explore the possibility of using spread spectrum time domain reflectometry (SSTDR) for detecting disconnections in a large-scale photovoltaic (PV) array. We discuss the importance, role, and trade-offs of SSTDR resolution, frequency, and attenuation in detecting disconnects in the...
Gespeichert in:
Veröffentlicht in: | IEEE journal of photovoltaics 2021-06, Vol.11 (4) |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 4 |
container_start_page | |
container_title | IEEE journal of photovoltaics |
container_volume | 11 |
creator | Edun, Ayobami S. Kingston, Samuel LaFlamme, Cody Benoit, Evan Scarpulla, Michael A. Furse, Cynthia M. Harley, Joel B. |
description | In this paper, we explore the possibility of using spread spectrum time domain reflectometry (SSTDR) for detecting disconnections in a large-scale photovoltaic (PV) array. We discuss the importance, role, and trade-offs of SSTDR resolution, frequency, and attenuation in detecting disconnects in the system. Our results show that if the proper system parameters are chosen, disconnections can be detected in a 1-kV system consisting of twenty-six 60-cell PV panels and located within 1.52 m for the first 22 modules. |
format | Article |
fullrecord | <record><control><sourceid>osti</sourceid><recordid>TN_cdi_osti_scitechconnect_2234297</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2234297</sourcerecordid><originalsourceid>FETCH-osti_scitechconnect_22342973</originalsourceid><addsrcrecordid>eNqNzcELgjAUBvARBUn5P4zugm666pxFBw-Rdpaxpr6QDXyjQ399s-zeu3yPjx98MxKwJBMRT2M-__18lyxJiPiI_Yk4EyINiMy108qBNVSaOy2skj285KewDc0BlTXmK5CCV7SQQ6uj0kNNSzeAaUd56ayzT9s7CQrpDce6LKv8uiaLRvaowylXZHM6VodzZNFBjQr8fjeN1IzxlO23_C_0BgioRmM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Detection and Localization of Disconnections in a Large-Scale String of Photovoltaics Using SSTDR</title><source>IEEE Electronic Library (IEL)</source><creator>Edun, Ayobami S. ; Kingston, Samuel ; LaFlamme, Cody ; Benoit, Evan ; Scarpulla, Michael A. ; Furse, Cynthia M. ; Harley, Joel B.</creator><creatorcontrib>Edun, Ayobami S. ; Kingston, Samuel ; LaFlamme, Cody ; Benoit, Evan ; Scarpulla, Michael A. ; Furse, Cynthia M. ; Harley, Joel B. ; Univ. of Utah, Salt Lake City, UT (United States)</creatorcontrib><description>In this paper, we explore the possibility of using spread spectrum time domain reflectometry (SSTDR) for detecting disconnections in a large-scale photovoltaic (PV) array. We discuss the importance, role, and trade-offs of SSTDR resolution, frequency, and attenuation in detecting disconnects in the system. Our results show that if the proper system parameters are chosen, disconnections can be detected in a 1-kV system consisting of twenty-six 60-cell PV panels and located within 1.52 m for the first 22 modules.</description><identifier>ISSN: 2156-3381</identifier><identifier>EISSN: 2156-3403</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Fault detection ; photovoltaics (PVs) ; soft faults ; SOLAR ENERGY ; spread spectrum time domain reflectometry (SSTDR) ; transmission lines</subject><ispartof>IEEE journal of photovoltaics, 2021-06, Vol.11 (4)</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000000327587262 ; 0000000323092051 ; 0000000287645252 ; 0000000189201498 ; 0000000260846839 ; 0000000271397231</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,777,781,882</link.rule.ids><backlink>$$Uhttps://www.osti.gov/servlets/purl/2234297$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Edun, Ayobami S.</creatorcontrib><creatorcontrib>Kingston, Samuel</creatorcontrib><creatorcontrib>LaFlamme, Cody</creatorcontrib><creatorcontrib>Benoit, Evan</creatorcontrib><creatorcontrib>Scarpulla, Michael A.</creatorcontrib><creatorcontrib>Furse, Cynthia M.</creatorcontrib><creatorcontrib>Harley, Joel B.</creatorcontrib><creatorcontrib>Univ. of Utah, Salt Lake City, UT (United States)</creatorcontrib><title>Detection and Localization of Disconnections in a Large-Scale String of Photovoltaics Using SSTDR</title><title>IEEE journal of photovoltaics</title><description>In this paper, we explore the possibility of using spread spectrum time domain reflectometry (SSTDR) for detecting disconnections in a large-scale photovoltaic (PV) array. We discuss the importance, role, and trade-offs of SSTDR resolution, frequency, and attenuation in detecting disconnects in the system. Our results show that if the proper system parameters are chosen, disconnections can be detected in a 1-kV system consisting of twenty-six 60-cell PV panels and located within 1.52 m for the first 22 modules.</description><subject>Fault detection</subject><subject>photovoltaics (PVs)</subject><subject>soft faults</subject><subject>SOLAR ENERGY</subject><subject>spread spectrum time domain reflectometry (SSTDR)</subject><subject>transmission lines</subject><issn>2156-3381</issn><issn>2156-3403</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqNzcELgjAUBvARBUn5P4zugm666pxFBw-Rdpaxpr6QDXyjQ399s-zeu3yPjx98MxKwJBMRT2M-__18lyxJiPiI_Yk4EyINiMy108qBNVSaOy2skj285KewDc0BlTXmK5CCV7SQQ6uj0kNNSzeAaUd56ayzT9s7CQrpDce6LKv8uiaLRvaowylXZHM6VodzZNFBjQr8fjeN1IzxlO23_C_0BgioRmM</recordid><startdate>20210602</startdate><enddate>20210602</enddate><creator>Edun, Ayobami S.</creator><creator>Kingston, Samuel</creator><creator>LaFlamme, Cody</creator><creator>Benoit, Evan</creator><creator>Scarpulla, Michael A.</creator><creator>Furse, Cynthia M.</creator><creator>Harley, Joel B.</creator><general>IEEE</general><scope>OIOZB</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000000327587262</orcidid><orcidid>https://orcid.org/0000000323092051</orcidid><orcidid>https://orcid.org/0000000287645252</orcidid><orcidid>https://orcid.org/0000000189201498</orcidid><orcidid>https://orcid.org/0000000260846839</orcidid><orcidid>https://orcid.org/0000000271397231</orcidid></search><sort><creationdate>20210602</creationdate><title>Detection and Localization of Disconnections in a Large-Scale String of Photovoltaics Using SSTDR</title><author>Edun, Ayobami S. ; Kingston, Samuel ; LaFlamme, Cody ; Benoit, Evan ; Scarpulla, Michael A. ; Furse, Cynthia M. ; Harley, Joel B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-osti_scitechconnect_22342973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Fault detection</topic><topic>photovoltaics (PVs)</topic><topic>soft faults</topic><topic>SOLAR ENERGY</topic><topic>spread spectrum time domain reflectometry (SSTDR)</topic><topic>transmission lines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Edun, Ayobami S.</creatorcontrib><creatorcontrib>Kingston, Samuel</creatorcontrib><creatorcontrib>LaFlamme, Cody</creatorcontrib><creatorcontrib>Benoit, Evan</creatorcontrib><creatorcontrib>Scarpulla, Michael A.</creatorcontrib><creatorcontrib>Furse, Cynthia M.</creatorcontrib><creatorcontrib>Harley, Joel B.</creatorcontrib><creatorcontrib>Univ. of Utah, Salt Lake City, UT (United States)</creatorcontrib><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><jtitle>IEEE journal of photovoltaics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Edun, Ayobami S.</au><au>Kingston, Samuel</au><au>LaFlamme, Cody</au><au>Benoit, Evan</au><au>Scarpulla, Michael A.</au><au>Furse, Cynthia M.</au><au>Harley, Joel B.</au><aucorp>Univ. of Utah, Salt Lake City, UT (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection and Localization of Disconnections in a Large-Scale String of Photovoltaics Using SSTDR</atitle><jtitle>IEEE journal of photovoltaics</jtitle><date>2021-06-02</date><risdate>2021</risdate><volume>11</volume><issue>4</issue><issn>2156-3381</issn><eissn>2156-3403</eissn><abstract>In this paper, we explore the possibility of using spread spectrum time domain reflectometry (SSTDR) for detecting disconnections in a large-scale photovoltaic (PV) array. We discuss the importance, role, and trade-offs of SSTDR resolution, frequency, and attenuation in detecting disconnects in the system. Our results show that if the proper system parameters are chosen, disconnections can be detected in a 1-kV system consisting of twenty-six 60-cell PV panels and located within 1.52 m for the first 22 modules.</abstract><cop>United States</cop><pub>IEEE</pub><orcidid>https://orcid.org/0000000327587262</orcidid><orcidid>https://orcid.org/0000000323092051</orcidid><orcidid>https://orcid.org/0000000287645252</orcidid><orcidid>https://orcid.org/0000000189201498</orcidid><orcidid>https://orcid.org/0000000260846839</orcidid><orcidid>https://orcid.org/0000000271397231</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2156-3381 |
ispartof | IEEE journal of photovoltaics, 2021-06, Vol.11 (4) |
issn | 2156-3381 2156-3403 |
language | eng |
recordid | cdi_osti_scitechconnect_2234297 |
source | IEEE Electronic Library (IEL) |
subjects | Fault detection photovoltaics (PVs) soft faults SOLAR ENERGY spread spectrum time domain reflectometry (SSTDR) transmission lines |
title | Detection and Localization of Disconnections in a Large-Scale String of Photovoltaics Using SSTDR |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T13%3A53%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-osti&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Detection%20and%20Localization%20of%20Disconnections%20in%20a%20Large-Scale%20String%20of%20Photovoltaics%20Using%20SSTDR&rft.jtitle=IEEE%20journal%20of%20photovoltaics&rft.au=Edun,%20Ayobami%20S.&rft.aucorp=Univ.%20of%20Utah,%20Salt%20Lake%20City,%20UT%20(United%20States)&rft.date=2021-06-02&rft.volume=11&rft.issue=4&rft.issn=2156-3381&rft.eissn=2156-3403&rft_id=info:doi/&rft_dat=%3Costi%3E2234297%3C/osti%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |