Noise Suppression of Corona Current Measurement From HVdc Transmission Lines
The complexity and diversity of noise in corona current measurements of high-voltage direct current (HVdc) transmission lines leads to challenges in estimating corona performance. This paper proposes an offline noise suppression method for HVdc corona current measurements. Given that the corona curr...
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| Veröffentlicht in: | IEEE transactions on instrumentation and measurement 2016-02, Vol.65 (2), p.264-275 |
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| creator | Qiusheng Wang Kundur, Deepa Haiwen Yuan Yuanqing Liu Jiayu Lu Zhao Ma |
| description | The complexity and diversity of noise in corona current measurements of high-voltage direct current (HVdc) transmission lines leads to challenges in estimating corona performance. This paper proposes an offline noise suppression method for HVdc corona current measurements. Given that the corona current and background noise processes coexist within the same frequency band, we develop a novel multifaceted filtering approach for HVdc corona currents. Specifically, a cross correlation function-based center frequency recognition method is presented to provide filter design specification for a multiple notch filter to suppress narrow-band radio interference. To then suppress the residual full-band noise, wavelet denoising techniques with hard and soft thresholds are applied and compared. The proposed noise suppression method is applied to field-measured corona current data from the HVdc Experimental Base in China. We assert that the noise suppression method has versatile implementation and can be readily applied for corona loss estimation of HVdc systems. |
| doi_str_mv | 10.1109/TIM.2015.2485339 |
| format | Article |
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This paper proposes an offline noise suppression method for HVdc corona current measurements. Given that the corona current and background noise processes coexist within the same frequency band, we develop a novel multifaceted filtering approach for HVdc corona currents. Specifically, a cross correlation function-based center frequency recognition method is presented to provide filter design specification for a multiple notch filter to suppress narrow-band radio interference. To then suppress the residual full-band noise, wavelet denoising techniques with hard and soft thresholds are applied and compared. The proposed noise suppression method is applied to field-measured corona current data from the HVdc Experimental Base in China. We assert that the noise suppression method has versatile implementation and can be readily applied for corona loss estimation of HVdc systems.</description><identifier>ISSN: 0018-9456</identifier><identifier>EISSN: 1557-9662</identifier><identifier>DOI: 10.1109/TIM.2015.2485339</identifier><identifier>CODEN: IEIMAO</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Corona ; Corona current ; corona performance ; Correlation ; cross correlation function ; Current measurement ; high-voltage direct current (HVdc) ; HVDC transmission ; multiple notch filter ; Noise measurement ; Noise reduction ; noise suppression ; particle swarm optimization (PSO) ; Transmission line measurements ; wavelet transform</subject><ispartof>IEEE transactions on instrumentation and measurement, 2016-02, Vol.65 (2), p.264-275</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c361t-e15dedf56d84438455a1200838c62da6b76e8b7c7d31034302c5c5509a9d80693</citedby><cites>FETCH-LOGICAL-c361t-e15dedf56d84438455a1200838c62da6b76e8b7c7d31034302c5c5509a9d80693</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7323835$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7323835$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Qiusheng Wang</creatorcontrib><creatorcontrib>Kundur, Deepa</creatorcontrib><creatorcontrib>Haiwen Yuan</creatorcontrib><creatorcontrib>Yuanqing Liu</creatorcontrib><creatorcontrib>Jiayu Lu</creatorcontrib><creatorcontrib>Zhao Ma</creatorcontrib><title>Noise Suppression of Corona Current Measurement From HVdc Transmission Lines</title><title>IEEE transactions on instrumentation and measurement</title><addtitle>TIM</addtitle><description>The complexity and diversity of noise in corona current measurements of high-voltage direct current (HVdc) transmission lines leads to challenges in estimating corona performance. This paper proposes an offline noise suppression method for HVdc corona current measurements. Given that the corona current and background noise processes coexist within the same frequency band, we develop a novel multifaceted filtering approach for HVdc corona currents. Specifically, a cross correlation function-based center frequency recognition method is presented to provide filter design specification for a multiple notch filter to suppress narrow-band radio interference. To then suppress the residual full-band noise, wavelet denoising techniques with hard and soft thresholds are applied and compared. The proposed noise suppression method is applied to field-measured corona current data from the HVdc Experimental Base in China. We assert that the noise suppression method has versatile implementation and can be readily applied for corona loss estimation of HVdc systems.</description><subject>Corona</subject><subject>Corona current</subject><subject>corona performance</subject><subject>Correlation</subject><subject>cross correlation function</subject><subject>Current measurement</subject><subject>high-voltage direct current (HVdc)</subject><subject>HVDC transmission</subject><subject>multiple notch filter</subject><subject>Noise measurement</subject><subject>Noise reduction</subject><subject>noise suppression</subject><subject>particle swarm optimization (PSO)</subject><subject>Transmission line measurements</subject><subject>wavelet transform</subject><issn>0018-9456</issn><issn>1557-9662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1Lw0AQhhdRsFbvgpeA58TZ7PdRgrWFVA9Wr8s2mUCKycbd5uC_NyXF08zhfd5hHkLuKWSUgnnabbZZDlRkOdeCMXNBFlQIlRop80uyAKA6NVzIa3IT4wEAlORqQco330ZMPsZhCBhj6_vEN0nhg-9dUowhYH9MtujiGLA77avgu2T9VVfJLrg-du0MlW2P8ZZcNe474t15Lsnn6mVXrNPy_XVTPJdpxSQ9pkhFjXUjZK05Z5oL4WgOoJmuZF47uVcS9V5VqmYUGGeQV6ISAowztQZp2JI8zr1D8D8jxqM9-DH000lL1fQ8CJB8SsGcqoKPMWBjh9B2LvxaCvbkzE7O7MmZPTubkIcZaRHxP65YzjQT7A_5l2aC</recordid><startdate>20160201</startdate><enddate>20160201</enddate><creator>Qiusheng Wang</creator><creator>Kundur, Deepa</creator><creator>Haiwen Yuan</creator><creator>Yuanqing Liu</creator><creator>Jiayu Lu</creator><creator>Zhao Ma</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>7U5</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20160201</creationdate><title>Noise Suppression of Corona Current Measurement From HVdc Transmission Lines</title><author>Qiusheng Wang ; Kundur, Deepa ; Haiwen Yuan ; Yuanqing Liu ; Jiayu Lu ; Zhao Ma</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-e15dedf56d84438455a1200838c62da6b76e8b7c7d31034302c5c5509a9d80693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Corona</topic><topic>Corona current</topic><topic>corona performance</topic><topic>Correlation</topic><topic>cross correlation function</topic><topic>Current measurement</topic><topic>high-voltage direct current (HVdc)</topic><topic>HVDC transmission</topic><topic>multiple notch filter</topic><topic>Noise measurement</topic><topic>Noise reduction</topic><topic>noise suppression</topic><topic>particle swarm optimization (PSO)</topic><topic>Transmission line measurements</topic><topic>wavelet transform</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qiusheng Wang</creatorcontrib><creatorcontrib>Kundur, Deepa</creatorcontrib><creatorcontrib>Haiwen Yuan</creatorcontrib><creatorcontrib>Yuanqing Liu</creatorcontrib><creatorcontrib>Jiayu Lu</creatorcontrib><creatorcontrib>Zhao Ma</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>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on instrumentation and measurement</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Qiusheng Wang</au><au>Kundur, Deepa</au><au>Haiwen Yuan</au><au>Yuanqing Liu</au><au>Jiayu Lu</au><au>Zhao Ma</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Noise Suppression of Corona Current Measurement From HVdc Transmission Lines</atitle><jtitle>IEEE transactions on instrumentation and measurement</jtitle><stitle>TIM</stitle><date>2016-02-01</date><risdate>2016</risdate><volume>65</volume><issue>2</issue><spage>264</spage><epage>275</epage><pages>264-275</pages><issn>0018-9456</issn><eissn>1557-9662</eissn><coden>IEIMAO</coden><abstract>The complexity and diversity of noise in corona current measurements of high-voltage direct current (HVdc) transmission lines leads to challenges in estimating corona performance. This paper proposes an offline noise suppression method for HVdc corona current measurements. Given that the corona current and background noise processes coexist within the same frequency band, we develop a novel multifaceted filtering approach for HVdc corona currents. Specifically, a cross correlation function-based center frequency recognition method is presented to provide filter design specification for a multiple notch filter to suppress narrow-band radio interference. To then suppress the residual full-band noise, wavelet denoising techniques with hard and soft thresholds are applied and compared. The proposed noise suppression method is applied to field-measured corona current data from the HVdc Experimental Base in China. We assert that the noise suppression method has versatile implementation and can be readily applied for corona loss estimation of HVdc systems.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIM.2015.2485339</doi><tpages>12</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) |
| subjects | Corona Corona current corona performance Correlation cross correlation function Current measurement high-voltage direct current (HVdc) HVDC transmission multiple notch filter Noise measurement Noise reduction noise suppression particle swarm optimization (PSO) Transmission line measurements wavelet transform |
| title | Noise Suppression of Corona Current Measurement From HVdc Transmission Lines |
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