Kalman-Filter-Based Multilevel Analysis to Estimate Electric Load Composition
This paper presents a novel method by the multilevel analysis (MLA) to estimate the composition rate of electric loads with respect to measured total current waveform by improving the performance of a previous estimation scheme proposed by the authors. The proposed MLA makes it possible to analyze t...
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| Veröffentlicht in: | IEEE transactions on industrial electronics (1982) 2012-11, Vol.59 (11), p.4263-4271 |
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| container_issue | 11 |
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| container_title | IEEE transactions on industrial electronics (1982) |
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| creator | Jo, Si-Hun Son, SeoEun Lee, Soon Park, Jung-Wook |
| description | This paper presents a novel method by the multilevel analysis (MLA) to estimate the composition rate of electric loads with respect to measured total current waveform by improving the performance of a previous estimation scheme proposed by the authors. The proposed MLA makes it possible to analyze the electric load composition rate (LCR), which indicates the portions of several typical loads connected to a single point of common coupling (PCC), with the partition of several levels. Then, the Kalman-filter (KF) algorithm is applied to solve the estimation problem of LCR based on formulation with current waveforms in each level. The effectiveness of MLA based on the KF in practice is verified by the experimental implementation based on the prototype's setup in laboratory. It consists of a 3-kW photovoltaic grid-connected inverter, which contributes to a small distortion in voltage at PCC, and practical nonlinear loads connected to PCC. Also, the harmonic-current-injection-model-based time-domain simulations are carried out to prove the potential of the proposed method under various circumstances with different nonlinear loads. |
| doi_str_mv | 10.1109/TIE.2011.2180272 |
| format | Article |
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The proposed MLA makes it possible to analyze the electric load composition rate (LCR), which indicates the portions of several typical loads connected to a single point of common coupling (PCC), with the partition of several levels. Then, the Kalman-filter (KF) algorithm is applied to solve the estimation problem of LCR based on formulation with current waveforms in each level. The effectiveness of MLA based on the KF in practice is verified by the experimental implementation based on the prototype's setup in laboratory. It consists of a 3-kW photovoltaic grid-connected inverter, which contributes to a small distortion in voltage at PCC, and practical nonlinear loads connected to PCC. Also, the harmonic-current-injection-model-based time-domain simulations are carried out to prove the potential of the proposed method under various circumstances with different nonlinear loads.</description><identifier>ISSN: 0278-0046</identifier><identifier>EISSN: 1557-9948</identifier><identifier>DOI: 10.1109/TIE.2011.2180272</identifier><identifier>CODEN: ITIED6</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Computer simulation ; Current measurement ; Distortion ; Distributed generation (DG) ; electric load composition ; Electric potential ; Estimates ; Estimation ; Harmonic analysis ; Kalman filter (KF) ; Load management ; Load modeling ; Mathematical model ; Multilevel ; multilevel analysis (MLA) ; nonlinear load ; Nonlinearity ; Vectors ; Voltage ; Waveforms</subject><ispartof>IEEE transactions on industrial electronics (1982), 2012-11, Vol.59 (11), p.4263-4271</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Nov 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c324t-d8e196c49d13ba5e055e62ac321c311650f9fe877088cfff1239708f7795a0ba3</citedby><cites>FETCH-LOGICAL-c324t-d8e196c49d13ba5e055e62ac321c311650f9fe877088cfff1239708f7795a0ba3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6107580$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6107580$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jo, Si-Hun</creatorcontrib><creatorcontrib>Son, SeoEun</creatorcontrib><creatorcontrib>Lee, Soon</creatorcontrib><creatorcontrib>Park, Jung-Wook</creatorcontrib><title>Kalman-Filter-Based Multilevel Analysis to Estimate Electric Load Composition</title><title>IEEE transactions on industrial electronics (1982)</title><addtitle>TIE</addtitle><description>This paper presents a novel method by the multilevel analysis (MLA) to estimate the composition rate of electric loads with respect to measured total current waveform by improving the performance of a previous estimation scheme proposed by the authors. The proposed MLA makes it possible to analyze the electric load composition rate (LCR), which indicates the portions of several typical loads connected to a single point of common coupling (PCC), with the partition of several levels. Then, the Kalman-filter (KF) algorithm is applied to solve the estimation problem of LCR based on formulation with current waveforms in each level. The effectiveness of MLA based on the KF in practice is verified by the experimental implementation based on the prototype's setup in laboratory. It consists of a 3-kW photovoltaic grid-connected inverter, which contributes to a small distortion in voltage at PCC, and practical nonlinear loads connected to PCC. Also, the harmonic-current-injection-model-based time-domain simulations are carried out to prove the potential of the proposed method under various circumstances with different nonlinear loads.</description><subject>Computer simulation</subject><subject>Current measurement</subject><subject>Distortion</subject><subject>Distributed generation (DG)</subject><subject>electric load composition</subject><subject>Electric potential</subject><subject>Estimates</subject><subject>Estimation</subject><subject>Harmonic analysis</subject><subject>Kalman filter (KF)</subject><subject>Load management</subject><subject>Load modeling</subject><subject>Mathematical model</subject><subject>Multilevel</subject><subject>multilevel analysis (MLA)</subject><subject>nonlinear load</subject><subject>Nonlinearity</subject><subject>Vectors</subject><subject>Voltage</subject><subject>Waveforms</subject><issn>0278-0046</issn><issn>1557-9948</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkEFLw0AQhRdRsFbvgpeAFy-pM5tssnusJdVii5d6Dtt0Als22ZrdCv57t7R48PSGme8NvMfYPcIEEdTzelFNOCBOOErgJb9gIxSiTJXK5SUbxZVMAfLimt14vwPAXKAYsdW7tp3u07mxgYb0RXvaJquDDcbSN9lk2mv7441PgksqH0ynAyWVpSYMpkmWTm-Tmev2zptgXH_LrlptPd2ddcw-59V69pYuP14Xs-kybTKeh3QrCVXR5GqL2UYLAiGo4DoesckQCwGtakmWJUjZtG2LPFNxbstSCQ0bnY3Z0-nvfnBfB_Kh7oxvyFrdkzv4GiGTXEkZdcwe_6E7dxhiqiPFOc9LCTJScKKawXk_UFvvh5h1-IlQfey3jv3Wx37rc7_R8nCyGCL6wwuEUkjIfgFX13TM</recordid><startdate>201211</startdate><enddate>201211</enddate><creator>Jo, Si-Hun</creator><creator>Son, SeoEun</creator><creator>Lee, Soon</creator><creator>Park, Jung-Wook</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>8FD</scope><scope>L7M</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>201211</creationdate><title>Kalman-Filter-Based Multilevel Analysis to Estimate Electric Load Composition</title><author>Jo, Si-Hun ; Son, SeoEun ; Lee, Soon ; Park, Jung-Wook</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c324t-d8e196c49d13ba5e055e62ac321c311650f9fe877088cfff1239708f7795a0ba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Computer simulation</topic><topic>Current measurement</topic><topic>Distortion</topic><topic>Distributed generation (DG)</topic><topic>electric load composition</topic><topic>Electric potential</topic><topic>Estimates</topic><topic>Estimation</topic><topic>Harmonic analysis</topic><topic>Kalman filter (KF)</topic><topic>Load management</topic><topic>Load modeling</topic><topic>Mathematical model</topic><topic>Multilevel</topic><topic>multilevel analysis (MLA)</topic><topic>nonlinear load</topic><topic>Nonlinearity</topic><topic>Vectors</topic><topic>Voltage</topic><topic>Waveforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jo, Si-Hun</creatorcontrib><creatorcontrib>Son, SeoEun</creatorcontrib><creatorcontrib>Lee, Soon</creatorcontrib><creatorcontrib>Park, Jung-Wook</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 & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on industrial electronics (1982)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jo, Si-Hun</au><au>Son, SeoEun</au><au>Lee, Soon</au><au>Park, Jung-Wook</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Kalman-Filter-Based Multilevel Analysis to Estimate Electric Load Composition</atitle><jtitle>IEEE transactions on industrial electronics (1982)</jtitle><stitle>TIE</stitle><date>2012-11</date><risdate>2012</risdate><volume>59</volume><issue>11</issue><spage>4263</spage><epage>4271</epage><pages>4263-4271</pages><issn>0278-0046</issn><eissn>1557-9948</eissn><coden>ITIED6</coden><abstract>This paper presents a novel method by the multilevel analysis (MLA) to estimate the composition rate of electric loads with respect to measured total current waveform by improving the performance of a previous estimation scheme proposed by the authors. The proposed MLA makes it possible to analyze the electric load composition rate (LCR), which indicates the portions of several typical loads connected to a single point of common coupling (PCC), with the partition of several levels. Then, the Kalman-filter (KF) algorithm is applied to solve the estimation problem of LCR based on formulation with current waveforms in each level. The effectiveness of MLA based on the KF in practice is verified by the experimental implementation based on the prototype's setup in laboratory. It consists of a 3-kW photovoltaic grid-connected inverter, which contributes to a small distortion in voltage at PCC, and practical nonlinear loads connected to PCC. Also, the harmonic-current-injection-model-based time-domain simulations are carried out to prove the potential of the proposed method under various circumstances with different nonlinear loads.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIE.2011.2180272</doi><tpages>9</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) |
| subjects | Computer simulation Current measurement Distortion Distributed generation (DG) electric load composition Electric potential Estimates Estimation Harmonic analysis Kalman filter (KF) Load management Load modeling Mathematical model Multilevel multilevel analysis (MLA) nonlinear load Nonlinearity Vectors Voltage Waveforms |
| title | Kalman-Filter-Based Multilevel Analysis to Estimate Electric Load Composition |
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