Detection of Periodic Forced Oscillations in Power Systems Using Multitaper Approach
An algorithm based on Thomson's multitaper spectral estimation and harmonic analysis techniques is proposed for the detection and frequency estimation of periodic forced oscillations in a power system. Unlike traditional periodogram-based techniques, the method does not rely on true ambient noi...
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| Veröffentlicht in: | IEEE transactions on power systems 2019-03, Vol.34 (2), p.1086-1094 |
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| container_title | IEEE transactions on power systems |
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| creator | Khan, Md. Arif Pierre, John W. |
| description | An algorithm based on Thomson's multitaper spectral estimation and harmonic analysis techniques is proposed for the detection and frequency estimation of periodic forced oscillations in a power system. Unlike traditional periodogram-based techniques, the method does not rely on true ambient noise spectrum of the system, and can operate continuously in an online environment without requiring any system knowledge except synchrophasor measurements. It compares a test statistic derived from only measurements against a threshold, and the threshold is established from general expressions of the test statistic's distribution and the probability of false alarm. Performance of the detector is explicitly expressed using probability of detection expression, and evaluated using simulation studies. Results upon application of this algorithm to field measured synchrophasor data suggest usability of the technique for forced oscillation detection in practical monitoring of the power system. |
| doi_str_mv | 10.1109/TPWRS.2018.2870838 |
| format | Article |
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Arif</creatorcontrib><creatorcontrib>Pierre, John W.</creatorcontrib><creatorcontrib>Univ. of California, Oakland, CA (United States)</creatorcontrib><creatorcontrib>Univ. of Wyoming, Laramie, WY (United States)</creatorcontrib><title>Detection of Periodic Forced Oscillations in Power Systems Using Multitaper Approach</title><title>IEEE transactions on power systems</title><addtitle>TPWRS</addtitle><description>An algorithm based on Thomson's multitaper spectral estimation and harmonic analysis techniques is proposed for the detection and frequency estimation of periodic forced oscillations in a power system. Unlike traditional periodogram-based techniques, the method does not rely on true ambient noise spectrum of the system, and can operate continuously in an online environment without requiring any system knowledge except synchrophasor measurements. It compares a test statistic derived from only measurements against a threshold, and the threshold is established from general expressions of the test statistic's distribution and the probability of false alarm. Performance of the detector is explicitly expressed using probability of detection expression, and evaluated using simulation studies. Results upon application of this algorithm to field measured synchrophasor data suggest usability of the technique for forced oscillation detection in practical monitoring of the power system.</description><subject>Algorithms</subject><subject>Computer simulation</subject><subject>Detection</subject><subject>Engineering</subject><subject>Estimation</subject><subject>False alarms</subject><subject>forced oscillation</subject><subject>Fourier analysis</subject><subject>Harmonic analysis</subject><subject>multitaper</subject><subject>Noise measurement</subject><subject>Oscillations</subject><subject>Oscillators</subject><subject>phasor measurement unit (PMU)</subject><subject>Phasor measurement units</subject><subject>Power measurement</subject><subject>power system dynamics</subject><subject>Power system stability</subject><subject>Statistical analysis</subject><subject>synchrophasor measurements</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEFPAjEUhBujiYj-Ab00el5su9vu65GgqAkGIhCPzW63KyWwxXaJ4d9bXOLpHWbmZeZD6JaSAaVEPi5mnx_zASMUBgxyAimcoR7lHBIicnmOegSAJyA5uURXIawJISIKPbR4Mq3RrXUNdjWeGW9dZTUeO69NhadB282mOMoB2wbP3I_xeH4IrdkGvAy2-cLv-01r22IXheFu512hV9fooi42wdycbh8tx8-L0Wsymb68jYaTRKdCtAkThHBW8pIJXkhTZqkAWWlBNMsYcAq0grysdC0hq4QGnQsBvCqFTmVe1DTto_vurwutVbFrnLLSrmniIkUFpZLl0fTQmWK3770JrVq7vW9iL8UoZLmANIPoYp1LexeCN7Xaebst_EFRoo6I1R9idUSsTohj6K4LWWPMfwAyIWRK0l_DUXdG</recordid><startdate>201903</startdate><enddate>201903</enddate><creator>Khan, Md. 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Arif ; Pierre, John W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c366t-260052b5b265a9eb43689dc60c24285181d87bdcf984d6c8c76685db6c397af13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>Computer simulation</topic><topic>Detection</topic><topic>Engineering</topic><topic>Estimation</topic><topic>False alarms</topic><topic>forced oscillation</topic><topic>Fourier analysis</topic><topic>Harmonic analysis</topic><topic>multitaper</topic><topic>Noise measurement</topic><topic>Oscillations</topic><topic>Oscillators</topic><topic>phasor measurement unit (PMU)</topic><topic>Phasor measurement units</topic><topic>Power measurement</topic><topic>power system dynamics</topic><topic>Power system stability</topic><topic>Statistical analysis</topic><topic>synchrophasor measurements</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khan, Md. Arif</creatorcontrib><creatorcontrib>Pierre, John W.</creatorcontrib><creatorcontrib>Univ. of California, Oakland, CA (United States)</creatorcontrib><creatorcontrib>Univ. of Wyoming, Laramie, WY (United States)</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>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>OSTI.GOV</collection><jtitle>IEEE transactions on power systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Khan, Md. Arif</au><au>Pierre, John W.</au><aucorp>Univ. of California, Oakland, CA (United States)</aucorp><aucorp>Univ. of Wyoming, Laramie, WY (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection of Periodic Forced Oscillations in Power Systems Using Multitaper Approach</atitle><jtitle>IEEE transactions on power systems</jtitle><stitle>TPWRS</stitle><date>2019-03</date><risdate>2019</risdate><volume>34</volume><issue>2</issue><spage>1086</spage><epage>1094</epage><pages>1086-1094</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>An algorithm based on Thomson's multitaper spectral estimation and harmonic analysis techniques is proposed for the detection and frequency estimation of periodic forced oscillations in a power system. Unlike traditional periodogram-based techniques, the method does not rely on true ambient noise spectrum of the system, and can operate continuously in an online environment without requiring any system knowledge except synchrophasor measurements. It compares a test statistic derived from only measurements against a threshold, and the threshold is established from general expressions of the test statistic's distribution and the probability of false alarm. Performance of the detector is explicitly expressed using probability of detection expression, and evaluated using simulation studies. 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| ispartof | IEEE transactions on power systems, 2019-03, Vol.34 (2), p.1086-1094 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Computer simulation Detection Engineering Estimation False alarms forced oscillation Fourier analysis Harmonic analysis multitaper Noise measurement Oscillations Oscillators phasor measurement unit (PMU) Phasor measurement units Power measurement power system dynamics Power system stability Statistical analysis synchrophasor measurements |
| title | Detection of Periodic Forced Oscillations in Power Systems Using Multitaper Approach |
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