Probabilistic Load Flow Including Wind Power Generation

In this paper, a procedure is established for calculating the load flow probability density function in an electrical power network, taking into account the presence of wind power generation. The probability density function of the power injected in the network by a wind turbine is first obtained by...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on power systems 2011-08, Vol.26 (3), p.1659-1667
Hauptverfasser: Villanueva, D., Pazos, J. L., Feijoo, A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1667
container_issue 3
container_start_page 1659
container_title IEEE transactions on power systems
container_volume 26
creator Villanueva, D.
Pazos, J. L.
Feijoo, A.
description In this paper, a procedure is established for calculating the load flow probability density function in an electrical power network, taking into account the presence of wind power generation. The probability density function of the power injected in the network by a wind turbine is first obtained by utilizing a quadratic approximation of its power curve. With this model, the DC power flow of a network is calculated, considering the probabilistic nature of the power injected or consumed by the generators and the loads.
doi_str_mv 10.1109/TPWRS.2010.2096436
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_885055851</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5682076</ieee_id><sourcerecordid>2407286661</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-ed260c2dc404824a775689320e0eadb2e040dd46c0190acc54167cd8af8916283</originalsourceid><addsrcrecordid>eNp9kMFKAzEQhoMoWKsvoJfFi162TrLZbHKUYmuhYNFKjyFNUknZbmqyS_HtTW3x4MHTMMz3D_wfQtcYBhiDeJjPFq9vAwJpJyAYLdgJ6uGy5DmwSpyiHnBe5lyUcI4uYlwDAEuHHqpmwS_V0tUutk5nU69MNqr9Lps0uu6Maz6yhWtMNvM7G7KxbWxQrfPNJTpbqTraq-Pso_fR03z4nE9fxpPh4zTXFHibW0MYaGLSRjmhqqpKxkVBwIJVZkksUDCGMg1YgNK6pJhV2nC14gIzwos-ujv83Qb_2dnYyo2L2ta1aqzvoky1INUscSLv_yUxE4RiTMkevf2Drn0XmtRD8kpAUQhWJogcIB18jMGu5Da4jQpfEoPcS5c_0uVeujxKT6GbQ8hZa38DqTOBihXf-eV7dw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>879033965</pqid></control><display><type>article</type><title>Probabilistic Load Flow Including Wind Power Generation</title><source>IEEE Electronic Library (IEL)</source><creator>Villanueva, D. ; Pazos, J. L. ; Feijoo, A.</creator><creatorcontrib>Villanueva, D. ; Pazos, J. L. ; Feijoo, A.</creatorcontrib><description>In this paper, a procedure is established for calculating the load flow probability density function in an electrical power network, taking into account the presence of wind power generation. The probability density function of the power injected in the network by a wind turbine is first obtained by utilizing a quadratic approximation of its power curve. With this model, the DC power flow of a network is calculated, considering the probabilistic nature of the power injected or consumed by the generators and the loads.</description><identifier>ISSN: 0885-8950</identifier><identifier>EISSN: 1558-0679</identifier><identifier>DOI: 10.1109/TPWRS.2010.2096436</identifier><identifier>CODEN: ITPSEG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Approximation ; Convolution ; Correlation ; DC load flow ; Electric power generation ; Fourier transform ; Load flow ; Mathematical model ; Mathematical models ; Networks ; power curves ; probabilistic load flow ; Probabilistic logic ; Probabilistic methods ; Probability density functions ; Probability theory ; wind power ; Wind power generation ; Wind speed ; wind turbine</subject><ispartof>IEEE transactions on power systems, 2011-08, Vol.26 (3), p.1659-1667</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Aug 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-ed260c2dc404824a775689320e0eadb2e040dd46c0190acc54167cd8af8916283</citedby><cites>FETCH-LOGICAL-c408t-ed260c2dc404824a775689320e0eadb2e040dd46c0190acc54167cd8af8916283</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5682076$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5682076$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Villanueva, D.</creatorcontrib><creatorcontrib>Pazos, J. L.</creatorcontrib><creatorcontrib>Feijoo, A.</creatorcontrib><title>Probabilistic Load Flow Including Wind Power Generation</title><title>IEEE transactions on power systems</title><addtitle>TPWRS</addtitle><description>In this paper, a procedure is established for calculating the load flow probability density function in an electrical power network, taking into account the presence of wind power generation. The probability density function of the power injected in the network by a wind turbine is first obtained by utilizing a quadratic approximation of its power curve. With this model, the DC power flow of a network is calculated, considering the probabilistic nature of the power injected or consumed by the generators and the loads.</description><subject>Approximation</subject><subject>Convolution</subject><subject>Correlation</subject><subject>DC load flow</subject><subject>Electric power generation</subject><subject>Fourier transform</subject><subject>Load flow</subject><subject>Mathematical model</subject><subject>Mathematical models</subject><subject>Networks</subject><subject>power curves</subject><subject>probabilistic load flow</subject><subject>Probabilistic logic</subject><subject>Probabilistic methods</subject><subject>Probability density functions</subject><subject>Probability theory</subject><subject>wind power</subject><subject>Wind power generation</subject><subject>Wind speed</subject><subject>wind turbine</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kMFKAzEQhoMoWKsvoJfFi162TrLZbHKUYmuhYNFKjyFNUknZbmqyS_HtTW3x4MHTMMz3D_wfQtcYBhiDeJjPFq9vAwJpJyAYLdgJ6uGy5DmwSpyiHnBe5lyUcI4uYlwDAEuHHqpmwS_V0tUutk5nU69MNqr9Lps0uu6Maz6yhWtMNvM7G7KxbWxQrfPNJTpbqTraq-Pso_fR03z4nE9fxpPh4zTXFHibW0MYaGLSRjmhqqpKxkVBwIJVZkksUDCGMg1YgNK6pJhV2nC14gIzwos-ujv83Qb_2dnYyo2L2ta1aqzvoky1INUscSLv_yUxE4RiTMkevf2Drn0XmtRD8kpAUQhWJogcIB18jMGu5Da4jQpfEoPcS5c_0uVeujxKT6GbQ8hZa38DqTOBihXf-eV7dw</recordid><startdate>201108</startdate><enddate>201108</enddate><creator>Villanueva, D.</creator><creator>Pazos, J. L.</creator><creator>Feijoo, A.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>7SU</scope><scope>C1K</scope><scope>F28</scope><scope>7TG</scope><scope>KL.</scope></search><sort><creationdate>201108</creationdate><title>Probabilistic Load Flow Including Wind Power Generation</title><author>Villanueva, D. ; Pazos, J. L. ; Feijoo, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-ed260c2dc404824a775689320e0eadb2e040dd46c0190acc54167cd8af8916283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Approximation</topic><topic>Convolution</topic><topic>Correlation</topic><topic>DC load flow</topic><topic>Electric power generation</topic><topic>Fourier transform</topic><topic>Load flow</topic><topic>Mathematical model</topic><topic>Mathematical models</topic><topic>Networks</topic><topic>power curves</topic><topic>probabilistic load flow</topic><topic>Probabilistic logic</topic><topic>Probabilistic methods</topic><topic>Probability density functions</topic><topic>Probability theory</topic><topic>wind power</topic><topic>Wind power generation</topic><topic>Wind speed</topic><topic>wind turbine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Villanueva, D.</creatorcontrib><creatorcontrib>Pazos, J. L.</creatorcontrib><creatorcontrib>Feijoo, A.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environmental Engineering Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><jtitle>IEEE transactions on power systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Villanueva, D.</au><au>Pazos, J. L.</au><au>Feijoo, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Probabilistic Load Flow Including Wind Power Generation</atitle><jtitle>IEEE transactions on power systems</jtitle><stitle>TPWRS</stitle><date>2011-08</date><risdate>2011</risdate><volume>26</volume><issue>3</issue><spage>1659</spage><epage>1667</epage><pages>1659-1667</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>In this paper, a procedure is established for calculating the load flow probability density function in an electrical power network, taking into account the presence of wind power generation. The probability density function of the power injected in the network by a wind turbine is first obtained by utilizing a quadratic approximation of its power curve. With this model, the DC power flow of a network is calculated, considering the probabilistic nature of the power injected or consumed by the generators and the loads.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPWRS.2010.2096436</doi><tpages>9</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 0885-8950
ispartof IEEE transactions on power systems, 2011-08, Vol.26 (3), p.1659-1667
issn 0885-8950
1558-0679
language eng
recordid cdi_proquest_miscellaneous_885055851
source IEEE Electronic Library (IEL)
subjects Approximation
Convolution
Correlation
DC load flow
Electric power generation
Fourier transform
Load flow
Mathematical model
Mathematical models
Networks
power curves
probabilistic load flow
Probabilistic logic
Probabilistic methods
Probability density functions
Probability theory
wind power
Wind power generation
Wind speed
wind turbine
title Probabilistic Load Flow Including Wind Power Generation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T19%3A13%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Probabilistic%20Load%20Flow%20Including%20Wind%20Power%20Generation&rft.jtitle=IEEE%20transactions%20on%20power%20systems&rft.au=Villanueva,%20D.&rft.date=2011-08&rft.volume=26&rft.issue=3&rft.spage=1659&rft.epage=1667&rft.pages=1659-1667&rft.issn=0885-8950&rft.eissn=1558-0679&rft.coden=ITPSEG&rft_id=info:doi/10.1109/TPWRS.2010.2096436&rft_dat=%3Cproquest_RIE%3E2407286661%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=879033965&rft_id=info:pmid/&rft_ieee_id=5682076&rfr_iscdi=true