Location Identification of Power Line Outages Using PMU Measurements With Bad Data
The use of phasor angle measurements provided by phasor measurement units (PMUs) in fault detection is regarded as a promising method in identifying locations of power line outages. However, communication errors or system malfunctions may introduce errors to the measurements and thus yield bad data....
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Veröffentlicht in: | IEEE transactions on power systems 2016-09, Vol.31 (5), p.3624-3635 |
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creator | Li, Wen-Tai Wen, Chao-Kai Chen, Jung-Chieh Wong, Kai-Kit Teng, Jen-Hao Yuen, Chau |
description | The use of phasor angle measurements provided by phasor measurement units (PMUs) in fault detection is regarded as a promising method in identifying locations of power line outages. However, communication errors or system malfunctions may introduce errors to the measurements and thus yield bad data. Most of the existing methods on line outage identification fail to consider such error. This paper develops a framework for identifying multiple power line outages based on the PMUs' measurements in the presence of bad data. In particular, we design an algorithm to identify locations of line outage and recover the faulty measurements simultaneously. The proposed algorithm does not require any prior information on the number of line outages and the noise variance. Case studies carried out on test systems of different sizes validate the effectiveness and efficiency of the proposed approach. |
doi_str_mv | 10.1109/TPWRS.2015.2495214 |
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However, communication errors or system malfunctions may introduce errors to the measurements and thus yield bad data. Most of the existing methods on line outage identification fail to consider such error. This paper develops a framework for identifying multiple power line outages based on the PMUs' measurements in the presence of bad data. In particular, we design an algorithm to identify locations of line outage and recover the faulty measurements simultaneously. The proposed algorithm does not require any prior information on the number of line outages and the noise variance. 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(IEEE) 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-cee36766366cebce60ba59b7913ef23a260b06275e53c1c0f311cd8f95cb45493</citedby><cites>FETCH-LOGICAL-c328t-cee36766366cebce60ba59b7913ef23a260b06275e53c1c0f311cd8f95cb45493</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7332248$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7332248$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Li, Wen-Tai</creatorcontrib><creatorcontrib>Wen, Chao-Kai</creatorcontrib><creatorcontrib>Chen, Jung-Chieh</creatorcontrib><creatorcontrib>Wong, Kai-Kit</creatorcontrib><creatorcontrib>Teng, Jen-Hao</creatorcontrib><creatorcontrib>Yuen, Chau</creatorcontrib><title>Location Identification of Power Line Outages Using PMU Measurements With Bad Data</title><title>IEEE transactions on power systems</title><addtitle>TPWRS</addtitle><description>The use of phasor angle measurements provided by phasor measurement units (PMUs) in fault detection is regarded as a promising method in identifying locations of power line outages. However, communication errors or system malfunctions may introduce errors to the measurements and thus yield bad data. Most of the existing methods on line outage identification fail to consider such error. This paper develops a framework for identifying multiple power line outages based on the PMUs' measurements in the presence of bad data. In particular, we design an algorithm to identify locations of line outage and recover the faulty measurements simultaneously. The proposed algorithm does not require any prior information on the number of line outages and the noise variance. Case studies carried out on test systems of different sizes validate the effectiveness and efficiency of the proposed approach.</description><subject>Algorithms</subject><subject>Atmospheric measurements</subject><subject>Bad data</subject><subject>Communication systems</subject><subject>compressive sensing</subject><subject>Design engineering</subject><subject>Error analysis</subject><subject>Errors</subject><subject>identification of line outages</subject><subject>Outages</subject><subject>Particle measurements</subject><subject>Phasor measurement units</subject><subject>Phasors</subject><subject>PMU</subject><subject>Power lines</subject><subject>Power measurement</subject><subject>Power systems</subject><subject>Transmission line matrix methods</subject><subject>Transmission line measurements</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1PAjEQhhujiYj-Ab008eJlsR_b7u5R8YsEAkEIx6ZbZrEEttjuxvjvLUI8eGqm87wzkweha0p6lJLifjZZTN97jFDRY2khGE1PUIcKkSdEZsUp6pA8F0leCHKOLkJYE0JkbHTQdOiMbqyr8WAJdWMreyxdhSfuCzwe2hrwuG30CgKeB1uv8GQ0xyPQofWwjaGAF7b5wI96iZ90oy_RWaU3Aa6ObxfNX55n_bdkOH4d9B-GieEsbxIDwGUmJZfSQGlAklKLoswKyqFiXLP4QSTLBAhuqCEVp9Qs86oQpkxFWvAuujvM3Xn32UJo1NYGA5uNrsG1QdGcC0njAhbR23_o2rW-jtdFijKRSpbySLEDZbwLwUOldt5utf9WlKi9ZvWrWe01q6PmGLo5hCwA_AUyzhlLc_4D1RJ3zA</recordid><startdate>201609</startdate><enddate>201609</enddate><creator>Li, Wen-Tai</creator><creator>Wen, Chao-Kai</creator><creator>Chen, Jung-Chieh</creator><creator>Wong, Kai-Kit</creator><creator>Teng, Jen-Hao</creator><creator>Yuen, Chau</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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However, communication errors or system malfunctions may introduce errors to the measurements and thus yield bad data. Most of the existing methods on line outage identification fail to consider such error. This paper develops a framework for identifying multiple power line outages based on the PMUs' measurements in the presence of bad data. In particular, we design an algorithm to identify locations of line outage and recover the faulty measurements simultaneously. The proposed algorithm does not require any prior information on the number of line outages and the noise variance. Case studies carried out on test systems of different sizes validate the effectiveness and efficiency of the proposed approach.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPWRS.2015.2495214</doi><tpages>12</tpages></addata></record> |
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subjects | Algorithms Atmospheric measurements Bad data Communication systems compressive sensing Design engineering Error analysis Errors identification of line outages Outages Particle measurements Phasor measurement units Phasors PMU Power lines Power measurement Power systems Transmission line matrix methods Transmission line measurements |
title | Location Identification of Power Line Outages Using PMU Measurements With Bad Data |
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