Comprehensive design methodology of tuned passive filters based on a probabilistic approach
This study presents a new method for the optimal design of single-tuned harmonic passive filters considering the probabilistic nature of power system magnitudes. For this purpose, the algorithm uses the measurements acquired by a power quality analyser. The Gaussian mixture model has been applied to...
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| Veröffentlicht in: | IET generation, transmission & distribution transmission & distribution, 2014-01, Vol.8 (1), p.170-177 |
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| creator | Churio-Barboza, Julio C Maza-Ortega, Jose Maria |
| description | This study presents a new method for the optimal design of single-tuned harmonic passive filters considering the probabilistic nature of power system magnitudes. For this purpose, the algorithm uses the measurements acquired by a power quality analyser. The Gaussian mixture model has been applied to actual harmonic measurements to obtain a precise statistical representation which is crucial in the proposed design procedure. The optimisation algorithm considers both probabilistic and deterministic variables involving all the harmonic components including the minor or non-characteristic harmonics. Moreover, the objective function of the optimisation algorithm is formulated taken into account all the harmonic terms overpassing other simplified formulations based only on the fundamental component. This study includes a case study with different optimisation scenarios to clearly highlight the benefits of each of the proposed contributions. |
| doi_str_mv | 10.1049/iet-gtd.2012.0734 |
| format | Article |
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For this purpose, the algorithm uses the measurements acquired by a power quality analyser. The Gaussian mixture model has been applied to actual harmonic measurements to obtain a precise statistical representation which is crucial in the proposed design procedure. The optimisation algorithm considers both probabilistic and deterministic variables involving all the harmonic components including the minor or non-characteristic harmonics. Moreover, the objective function of the optimisation algorithm is formulated taken into account all the harmonic terms overpassing other simplified formulations based only on the fundamental component. This study includes a case study with different optimisation scenarios to clearly highlight the benefits of each of the proposed contributions.</description><identifier>ISSN: 1751-8687</identifier><identifier>ISSN: 1751-8695</identifier><identifier>EISSN: 1751-8695</identifier><identifier>DOI: 10.1049/iet-gtd.2012.0734</identifier><language>eng</language><publisher>Stevenage: The Institution of Engineering and Technology</publisher><subject>Algorithms ; Applied sciences ; Capacitors. Resistors. Filters ; comprehensive design methodology ; Design analysis ; Design engineering ; deterministic variable ; Electrical engineering. Electrical power engineering ; Electrical power engineering ; Exact sciences and technology ; Gaussian ; Gaussian mixture model ; Gaussian processes ; harmonic component ; harmonic measurement ; Harmonics ; Mathematical models ; Miscellaneous ; Operation. Load control. Reliability ; optimisation ; optimisation algorithm ; Optimization ; passive filters ; Power electronics, power supplies ; power filters ; Power networks and lines ; power quality analyser ; power supply quality ; power system harmonics ; power system magnitude ; probabilistic approach ; Probabilistic methods ; Probability theory ; single‐tuned harmonic passive filters ; statistical representation ; Various equipment and components</subject><ispartof>IET generation, transmission & distribution, 2014-01, Vol.8 (1), p.170-177</ispartof><rights>The Institution of Engineering and Technology</rights><rights>2014 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology</rights><rights>2015 INIST-CNRS</rights><rights>Copyright The Institution of Engineering & Technology 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5350-314b653b56793570b7a49aaeb37d96d304d4cbab096c05508fcb2b4ae5d26d303</citedby><cites>FETCH-LOGICAL-c5350-314b653b56793570b7a49aaeb37d96d304d4cbab096c05508fcb2b4ae5d26d303</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1049%2Fiet-gtd.2012.0734$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1049%2Fiet-gtd.2012.0734$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,4010,11541,27900,27901,27902,45550,45551,46027,46451</link.rule.ids><linktorsrc>$$Uhttps://onlinelibrary.wiley.com/doi/abs/10.1049%2Fiet-gtd.2012.0734$$EView_record_in_Wiley-Blackwell$$FView_record_in_$$GWiley-Blackwell</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28157528$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Churio-Barboza, Julio C</creatorcontrib><creatorcontrib>Maza-Ortega, Jose Maria</creatorcontrib><title>Comprehensive design methodology of tuned passive filters based on a probabilistic approach</title><title>IET generation, transmission & distribution</title><description>This study presents a new method for the optimal design of single-tuned harmonic passive filters considering the probabilistic nature of power system magnitudes. For this purpose, the algorithm uses the measurements acquired by a power quality analyser. The Gaussian mixture model has been applied to actual harmonic measurements to obtain a precise statistical representation which is crucial in the proposed design procedure. The optimisation algorithm considers both probabilistic and deterministic variables involving all the harmonic components including the minor or non-characteristic harmonics. Moreover, the objective function of the optimisation algorithm is formulated taken into account all the harmonic terms overpassing other simplified formulations based only on the fundamental component. This study includes a case study with different optimisation scenarios to clearly highlight the benefits of each of the proposed contributions.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Capacitors. Resistors. Filters</subject><subject>comprehensive design methodology</subject><subject>Design analysis</subject><subject>Design engineering</subject><subject>deterministic variable</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical power engineering</subject><subject>Exact sciences and technology</subject><subject>Gaussian</subject><subject>Gaussian mixture model</subject><subject>Gaussian processes</subject><subject>harmonic component</subject><subject>harmonic measurement</subject><subject>Harmonics</subject><subject>Mathematical models</subject><subject>Miscellaneous</subject><subject>Operation. Load control. Reliability</subject><subject>optimisation</subject><subject>optimisation algorithm</subject><subject>Optimization</subject><subject>passive filters</subject><subject>Power electronics, power supplies</subject><subject>power filters</subject><subject>Power networks and lines</subject><subject>power quality analyser</subject><subject>power supply quality</subject><subject>power system harmonics</subject><subject>power system magnitude</subject><subject>probabilistic approach</subject><subject>Probabilistic methods</subject><subject>Probability theory</subject><subject>single‐tuned harmonic passive filters</subject><subject>statistical representation</subject><subject>Various equipment and components</subject><issn>1751-8687</issn><issn>1751-8695</issn><issn>1751-8695</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqNkctqGzEYhUVpoKnTB-hOUALNYhzdNdNd6yZpIJCNu-pC6Da2wng0kcYNfvtq6mBKSGhWun3n6PwcAD5iNMeINefBj9VqdHOCMJkjSdkbcIwlx1UtGv72sK_lO_A-5zuEOBdMHoNfi7gZkl_7PoffHjqfw6qHGz-uo4tdXO1gbOG47b2Dg85_mTZ0o08ZGp3LbeyhhkOKRpvQhTwGC_VQztquT8BRq7vsPzyuM_Dz8mK5-FHd3F5dL77eVJZTjiqKmRGcGi5kQ7lERmrWaO0Nla4RjiLmmC32qBG2xEZ1aw0xTHvuyPRMZ-Dz3rd8e7_1eVSbkK3vOt37uM0KF19ChBSvQIXEnFGJ64J-eoLexW3qyyAKc0RFTRouC4X3lE0x5-RbNaSw0WmnMFJTM6o0o0ozampGTc0Uzemjs85Wd23SvQ35ICQ15pKTKcGXPfcQOr_7v7G6Wn4n3y4RmvLNwNlePGGH5NcXy4n6RzO4trDVM-zLA_wB8NC9jw</recordid><startdate>201401</startdate><enddate>201401</enddate><creator>Churio-Barboza, Julio C</creator><creator>Maza-Ortega, Jose Maria</creator><general>The Institution of Engineering and Technology</general><general>Institution of Engineering and Technology</general><general>The Institution of Engineering & Technology</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>S0W</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>201401</creationdate><title>Comprehensive design methodology of tuned passive filters based on a probabilistic approach</title><author>Churio-Barboza, Julio C ; Maza-Ortega, Jose Maria</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5350-314b653b56793570b7a49aaeb37d96d304d4cbab096c05508fcb2b4ae5d26d303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Capacitors. Resistors. Filters</topic><topic>comprehensive design methodology</topic><topic>Design analysis</topic><topic>Design engineering</topic><topic>deterministic variable</topic><topic>Electrical engineering. Electrical power engineering</topic><topic>Electrical power engineering</topic><topic>Exact sciences and technology</topic><topic>Gaussian</topic><topic>Gaussian mixture model</topic><topic>Gaussian processes</topic><topic>harmonic component</topic><topic>harmonic measurement</topic><topic>Harmonics</topic><topic>Mathematical models</topic><topic>Miscellaneous</topic><topic>Operation. Load control. 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| identifier | ISSN: 1751-8687 |
| ispartof | IET generation, transmission & distribution, 2014-01, Vol.8 (1), p.170-177 |
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| subjects | Algorithms Applied sciences Capacitors. Resistors. Filters comprehensive design methodology Design analysis Design engineering deterministic variable Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Gaussian Gaussian mixture model Gaussian processes harmonic component harmonic measurement Harmonics Mathematical models Miscellaneous Operation. Load control. Reliability optimisation optimisation algorithm Optimization passive filters Power electronics, power supplies power filters Power networks and lines power quality analyser power supply quality power system harmonics power system magnitude probabilistic approach Probabilistic methods Probability theory single‐tuned harmonic passive filters statistical representation Various equipment and components |
| title | Comprehensive design methodology of tuned passive filters based on a probabilistic approach |
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