State estimation in distribution system considering effects of AMI data
State Estimation (SE), being a key component of Energy Management Systems (EMS), plays an essential role in operating power distribution systems. The Weighted Least Squares (WLS) based methods, among many others, have been most widely used in conventional distribution system state estimation. The in...
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| creator | Ziyu Jia Jiaxiong Chen Yuan Liao |
| description | State Estimation (SE), being a key component of Energy Management Systems (EMS), plays an essential role in operating power distribution systems. The Weighted Least Squares (WLS) based methods, among many others, have been most widely used in conventional distribution system state estimation. The increasing deployment of Advanced Metering Infrastructure (AMI), which provides more frequent measurements from more points, enables improvement for the WLS state estimators. This paper aims at quantifying the impacts of AMI data on a typical WLS state estimator, through simulation on a 16-bus overhead radial system under various conditions. Beyond demonstrating the improvement in estimation accuracy, our evaluations quantitatively characterize the behavior of WLS estimator leveraged with AMI data. |
| doi_str_mv | 10.1109/SECON.2013.6567406 |
| format | Conference Proceeding |
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The Weighted Least Squares (WLS) based methods, among many others, have been most widely used in conventional distribution system state estimation. The increasing deployment of Advanced Metering Infrastructure (AMI), which provides more frequent measurements from more points, enables improvement for the WLS state estimators. This paper aims at quantifying the impacts of AMI data on a typical WLS state estimator, through simulation on a 16-bus overhead radial system under various conditions. 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Beyond demonstrating the improvement in estimation accuracy, our evaluations quantitatively characterize the behavior of WLS estimator leveraged with AMI data.</description><subject>Accuracy</subject><subject>AMI</subject><subject>distribution system</subject><subject>estimation accuracy</subject><subject>Fluctuations</subject><subject>Load flow</subject><subject>Measurement uncertainty</subject><subject>State estimation</subject><subject>Vectors</subject><subject>WLS state estimation</subject><issn>1091-0050</issn><issn>1558-058X</issn><isbn>9781479900527</isbn><isbn>1479900524</isbn><isbn>1479900532</isbn><isbn>9781479900534</isbn><isbn>9781479900510</isbn><isbn>1479900516</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kE1PAjEYhOtXIiJ_QC_9A4vv2-8eyQaQBOUAB2-kS1tTI7tmWw_8ezeKp8mTSSYzQ8gDwhQR7NN2Xm9epwyQT5VUWoC6IHcotLUAkrNLMkIpTQXSvF2RidXm32P6evDAYjUA3JJJzh8AgMgE12JEltviSqAhl3R0JXUtTS31KZc-Nd-_nE-5hCM9dG1OPvSpfachxnAomXaRzl5W1Lvi7slNdJ85TM46JrvFfFc_V-vNclXP1lVCLUsVGxe9ZULzpgGPDSIHZIpZx0ywRnobDpyr6DAGq9CCUkJEZYzzcVjFx-TxLzaFEPZf_VC6P-3Pl_Af0eFQpA</recordid><startdate>201304</startdate><enddate>201304</enddate><creator>Ziyu Jia</creator><creator>Jiaxiong Chen</creator><creator>Yuan Liao</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201304</creationdate><title>State estimation in distribution system considering effects of AMI data</title><author>Ziyu Jia ; Jiaxiong Chen ; Yuan Liao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-fbafd92473bb0d1b113012629a28e985d9ec336fa1fe961906644f688adf9783</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accuracy</topic><topic>AMI</topic><topic>distribution system</topic><topic>estimation accuracy</topic><topic>Fluctuations</topic><topic>Load flow</topic><topic>Measurement uncertainty</topic><topic>State estimation</topic><topic>Vectors</topic><topic>WLS state estimation</topic><toplevel>online_resources</toplevel><creatorcontrib>Ziyu Jia</creatorcontrib><creatorcontrib>Jiaxiong Chen</creatorcontrib><creatorcontrib>Yuan Liao</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ziyu Jia</au><au>Jiaxiong Chen</au><au>Yuan Liao</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>State estimation in distribution system considering effects of AMI data</atitle><btitle>2013 Proceedings of IEEE Southeastcon</btitle><stitle>SECON</stitle><date>2013-04</date><risdate>2013</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>1091-0050</issn><eissn>1558-058X</eissn><isbn>9781479900527</isbn><isbn>1479900524</isbn><eisbn>1479900532</eisbn><eisbn>9781479900534</eisbn><eisbn>9781479900510</eisbn><eisbn>1479900516</eisbn><abstract>State Estimation (SE), being a key component of Energy Management Systems (EMS), plays an essential role in operating power distribution systems. The Weighted Least Squares (WLS) based methods, among many others, have been most widely used in conventional distribution system state estimation. The increasing deployment of Advanced Metering Infrastructure (AMI), which provides more frequent measurements from more points, enables improvement for the WLS state estimators. This paper aims at quantifying the impacts of AMI data on a typical WLS state estimator, through simulation on a 16-bus overhead radial system under various conditions. Beyond demonstrating the improvement in estimation accuracy, our evaluations quantitatively characterize the behavior of WLS estimator leveraged with AMI data.</abstract><pub>IEEE</pub><doi>10.1109/SECON.2013.6567406</doi><tpages>6</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Accuracy AMI distribution system estimation accuracy Fluctuations Load flow Measurement uncertainty State estimation Vectors WLS state estimation |
| title | State estimation in distribution system considering effects of AMI data |
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