Probabilistic three-phase power flow in a distribution system applying the pseudo-inverse and cumulant method

A new, analytical approach using the cumulant method is proposed for the three-phase probabilistic power-flow (PPF) analysis. The approach to forming the sensitivity matrix is based on quantifying the pseudo-inverse instead of the inverse jacobian matrix, since it is commonly singular in a distribut...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of Electrical Engineering 2022-04, Vol.73 (2), p.124-131
Hauptverfasser: Bogovič, Jerneja, Pantoš, Miloš
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 131
container_issue 2
container_start_page 124
container_title Journal of Electrical Engineering
container_volume 73
creator Bogovič, Jerneja
Pantoš, Miloš
description A new, analytical approach using the cumulant method is proposed for the three-phase probabilistic power-flow (PPF) analysis. The approach to forming the sensitivity matrix is based on quantifying the pseudo-inverse instead of the inverse jacobian matrix, since it is commonly singular in a distribution power network. The results are compared with those obtained using the point-estimate method (PEM) and the Monte Carlo (MC) method, which is a commonly used reference method for the PPF analysis in a distribution power network.
doi_str_mv 10.2478/jee-2022-0016
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2664005767</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2664005767</sourcerecordid><originalsourceid>FETCH-LOGICAL-c286t-66cc9a70d007eb2b4944427e17bab7ce0d9249b77b697c86cfe17408c7a3d6d03</originalsourceid><addsrcrecordid>eNptkM1LxDAQxYMouOgevQc8R9M0Jls8yeIXLOhBwVtIk-lulrapSerS_94sK-jB0wzM7715PIQuCnrFuFxcbwEIo4wRSgtxhGZFWVakpNXH8Z_9FM1j3NKM8IpxKmaoew2-1rVrXUzO4LQJ2WfY6Ah48DsIuGn9Drsea2wzElw9Jud7HKeYoMN6GNrJ9esszIIIo_XE9V8Qsl73FpuxG1vdJ9xB2nh7jk4a3UaY_8wz9P5w_7Z8IquXx-fl3YoYthCJCGFMpSW1lEqoWc0rzjmTUMgcVRqgNqevailrUUmzEKbJJ04XRurSCkvLM3R58B2C_xwhJrX1Y-jzS8WE4JTeSCEzRQ6UCT7GAI0agut0mFRB1b5UlUtV-1LVvtTM3x74nW4TBAvrME55-TX_VydLVjBefgNKln-H</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2664005767</pqid></control><display><type>article</type><title>Probabilistic three-phase power flow in a distribution system applying the pseudo-inverse and cumulant method</title><source>Walter De Gruyter: Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Bogovič, Jerneja ; Pantoš, Miloš</creator><creatorcontrib>Bogovič, Jerneja ; Pantoš, Miloš</creatorcontrib><description>A new, analytical approach using the cumulant method is proposed for the three-phase probabilistic power-flow (PPF) analysis. The approach to forming the sensitivity matrix is based on quantifying the pseudo-inverse instead of the inverse jacobian matrix, since it is commonly singular in a distribution power network. The results are compared with those obtained using the point-estimate method (PEM) and the Monte Carlo (MC) method, which is a commonly used reference method for the PPF analysis in a distribution power network.</description><identifier>ISSN: 1339-309X</identifier><identifier>ISSN: 1335-3632</identifier><identifier>EISSN: 1339-309X</identifier><identifier>DOI: 10.2478/jee-2022-0016</identifier><language>eng</language><publisher>Bratislava: Sciendo</publisher><subject>Accuracy ; Algorithms ; cumulants ; distribution power network ; Electric power distribution ; Electrical engineering ; Jacobi matrix method ; Jacobian matrix ; linearization ; Methods ; Power flow ; probabilistic power flow ; Random variables</subject><ispartof>Journal of Electrical Engineering, 2022-04, Vol.73 (2), p.124-131</ispartof><rights>2022. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c286t-66cc9a70d007eb2b4944427e17bab7ce0d9249b77b697c86cfe17408c7a3d6d03</citedby><cites>FETCH-LOGICAL-c286t-66cc9a70d007eb2b4944427e17bab7ce0d9249b77b697c86cfe17408c7a3d6d03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://sciendo.com/pdf/10.2478/jee-2022-0016$$EPDF$$P50$$Gwalterdegruyter$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://sciendo.com/article/10.2478/jee-2022-0016$$EHTML$$P50$$Gwalterdegruyter$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,27924,27925,76164,76165</link.rule.ids></links><search><creatorcontrib>Bogovič, Jerneja</creatorcontrib><creatorcontrib>Pantoš, Miloš</creatorcontrib><title>Probabilistic three-phase power flow in a distribution system applying the pseudo-inverse and cumulant method</title><title>Journal of Electrical Engineering</title><description>A new, analytical approach using the cumulant method is proposed for the three-phase probabilistic power-flow (PPF) analysis. The approach to forming the sensitivity matrix is based on quantifying the pseudo-inverse instead of the inverse jacobian matrix, since it is commonly singular in a distribution power network. The results are compared with those obtained using the point-estimate method (PEM) and the Monte Carlo (MC) method, which is a commonly used reference method for the PPF analysis in a distribution power network.</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>cumulants</subject><subject>distribution power network</subject><subject>Electric power distribution</subject><subject>Electrical engineering</subject><subject>Jacobi matrix method</subject><subject>Jacobian matrix</subject><subject>linearization</subject><subject>Methods</subject><subject>Power flow</subject><subject>probabilistic power flow</subject><subject>Random variables</subject><issn>1339-309X</issn><issn>1335-3632</issn><issn>1339-309X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkM1LxDAQxYMouOgevQc8R9M0Jls8yeIXLOhBwVtIk-lulrapSerS_94sK-jB0wzM7715PIQuCnrFuFxcbwEIo4wRSgtxhGZFWVakpNXH8Z_9FM1j3NKM8IpxKmaoew2-1rVrXUzO4LQJ2WfY6Ah48DsIuGn9Drsea2wzElw9Jud7HKeYoMN6GNrJ9esszIIIo_XE9V8Qsl73FpuxG1vdJ9xB2nh7jk4a3UaY_8wz9P5w_7Z8IquXx-fl3YoYthCJCGFMpSW1lEqoWc0rzjmTUMgcVRqgNqevailrUUmzEKbJJ04XRurSCkvLM3R58B2C_xwhJrX1Y-jzS8WE4JTeSCEzRQ6UCT7GAI0agut0mFRB1b5UlUtV-1LVvtTM3x74nW4TBAvrME55-TX_VydLVjBefgNKln-H</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Bogovič, Jerneja</creator><creator>Pantoš, Miloš</creator><general>Sciendo</general><general>De Gruyter Poland</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>L7M</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20220401</creationdate><title>Probabilistic three-phase power flow in a distribution system applying the pseudo-inverse and cumulant method</title><author>Bogovič, Jerneja ; Pantoš, Miloš</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c286t-66cc9a70d007eb2b4944427e17bab7ce0d9249b77b697c86cfe17408c7a3d6d03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accuracy</topic><topic>Algorithms</topic><topic>cumulants</topic><topic>distribution power network</topic><topic>Electric power distribution</topic><topic>Electrical engineering</topic><topic>Jacobi matrix method</topic><topic>Jacobian matrix</topic><topic>linearization</topic><topic>Methods</topic><topic>Power flow</topic><topic>probabilistic power flow</topic><topic>Random variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bogovič, Jerneja</creatorcontrib><creatorcontrib>Pantoš, Miloš</creatorcontrib><collection>CrossRef</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Engineering Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Journal of Electrical Engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bogovič, Jerneja</au><au>Pantoš, Miloš</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Probabilistic three-phase power flow in a distribution system applying the pseudo-inverse and cumulant method</atitle><jtitle>Journal of Electrical Engineering</jtitle><date>2022-04-01</date><risdate>2022</risdate><volume>73</volume><issue>2</issue><spage>124</spage><epage>131</epage><pages>124-131</pages><issn>1339-309X</issn><issn>1335-3632</issn><eissn>1339-309X</eissn><abstract>A new, analytical approach using the cumulant method is proposed for the three-phase probabilistic power-flow (PPF) analysis. The approach to forming the sensitivity matrix is based on quantifying the pseudo-inverse instead of the inverse jacobian matrix, since it is commonly singular in a distribution power network. The results are compared with those obtained using the point-estimate method (PEM) and the Monte Carlo (MC) method, which is a commonly used reference method for the PPF analysis in a distribution power network.</abstract><cop>Bratislava</cop><pub>Sciendo</pub><doi>10.2478/jee-2022-0016</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1339-309X
ispartof Journal of Electrical Engineering, 2022-04, Vol.73 (2), p.124-131
issn 1339-309X
1335-3632
1339-309X
language eng
recordid cdi_proquest_journals_2664005767
source Walter De Gruyter: Open Access Journals; EZB-FREE-00999 freely available EZB journals
subjects Accuracy
Algorithms
cumulants
distribution power network
Electric power distribution
Electrical engineering
Jacobi matrix method
Jacobian matrix
linearization
Methods
Power flow
probabilistic power flow
Random variables
title Probabilistic three-phase power flow in a distribution system applying the pseudo-inverse and cumulant method
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T13%3A22%3A25IST&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=Probabilistic%20three-phase%20power%20flow%20in%20a%20distribution%20system%20applying%20the%20pseudo-inverse%20and%20cumulant%20method&rft.jtitle=Journal%20of%20Electrical%20Engineering&rft.au=Bogovi%C4%8D,%20Jerneja&rft.date=2022-04-01&rft.volume=73&rft.issue=2&rft.spage=124&rft.epage=131&rft.pages=124-131&rft.issn=1339-309X&rft.eissn=1339-309X&rft_id=info:doi/10.2478/jee-2022-0016&rft_dat=%3Cproquest_cross%3E2664005767%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=2664005767&rft_id=info:pmid/&rfr_iscdi=true