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...
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Veröffentlicht in: | IEEE transactions on power systems 2011-08, Vol.26 (3), p.1659-1667 |
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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 |
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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. 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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. 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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. 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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 |
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