Determination of power quality disturbances in power systems using skewness and kurtosis coefficients

In this paper; the signals consisting of power quality disturbances is determined by using statistical methods. Five kind of power quality disturbances such as voltage swells, voltage sags, voltage with harmonics, transients and flicker which last duration of 18 periods are constituted by using MATL...

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Hauptverfasser:	Kocaman, Cagri, Ozdemir, Muammer
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Sprache:	eng
Schlagworte:	Frequency MATLAB Power quality Power system harmonics Power system transients Power systems Sampling methods Statistical analysis Voltage fluctuations
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description	In this paper; the signals consisting of power quality disturbances is determined by using statistical methods. Five kind of power quality disturbances such as voltage swells, voltage sags, voltage with harmonics, transients and flicker which last duration of 18 periods are constituted by using MATLAB. Sampling frequency is 12.8 kHz. Skewness and kurtosis coefficients of constituted signals are calculated in local frames. Changes of skewness and kurtosis coefficients' amplitudes determine the moment of occurrences of constituted disturbances. It is observed that only skewness or only kurtosis coefficients are not adequate for distinguishing voltage swells, voltage sags, voltage with harmonics, transients and flicker. It is concluded that in order to distinguish constituted these disturbances both of these coefficients must be taken into consideration at the same time.
doi_str_mv	10.1109/SIU.2009.5136402
format	Conference Proceeding
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Five kind of power quality disturbances such as voltage swells, voltage sags, voltage with harmonics, transients and flicker which last duration of 18 periods are constituted by using MATLAB. Sampling frequency is 12.8 kHz. Skewness and kurtosis coefficients of constituted signals are calculated in local frames. Changes of skewness and kurtosis coefficients' amplitudes determine the moment of occurrences of constituted disturbances. It is observed that only skewness or only kurtosis coefficients are not adequate for distinguishing voltage swells, voltage sags, voltage with harmonics, transients and flicker. It is concluded that in order to distinguish constituted these disturbances both of these coefficients must be taken into consideration at the same time.</description><identifier>ISSN: 2165-0608</identifier><identifier>ISBN: 9781424444359</identifier><identifier>ISBN: 1424444357</identifier><identifier>EISSN: 2693-3616</identifier><identifier>EISBN: 1424444365</identifier><identifier>EISBN: 9781424444366</identifier><identifier>DOI: 10.1109/SIU.2009.5136402</identifier><identifier>LCCN: 2009902987</identifier><language>eng</language><publisher>IEEE</publisher><subject>Frequency ; MATLAB ; Power quality ; Power system harmonics ; Power system transients ; Power systems ; Sampling methods ; Statistical analysis ; Voltage fluctuations</subject><ispartof>2009 IEEE 17th Signal Processing and Communications Applications Conference, 2009, p.341-344</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5136402$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5136402$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kocaman, Cagri</creatorcontrib><creatorcontrib>Ozdemir, Muammer</creatorcontrib><title>Determination of power quality disturbances in power systems using skewness and kurtosis coefficients</title><title>2009 IEEE 17th Signal Processing and Communications Applications Conference</title><addtitle>SIU</addtitle><description>In this paper; the signals consisting of power quality disturbances is determined by using statistical methods. Five kind of power quality disturbances such as voltage swells, voltage sags, voltage with harmonics, transients and flicker which last duration of 18 periods are constituted by using MATLAB. Sampling frequency is 12.8 kHz. Skewness and kurtosis coefficients of constituted signals are calculated in local frames. Changes of skewness and kurtosis coefficients' amplitudes determine the moment of occurrences of constituted disturbances. It is observed that only skewness or only kurtosis coefficients are not adequate for distinguishing voltage swells, voltage sags, voltage with harmonics, transients and flicker. It is concluded that in order to distinguish constituted these disturbances both of these coefficients must be taken into consideration at the same time.</description><subject>Frequency</subject><subject>MATLAB</subject><subject>Power quality</subject><subject>Power system harmonics</subject><subject>Power system transients</subject><subject>Power systems</subject><subject>Sampling methods</subject><subject>Statistical analysis</subject><subject>Voltage fluctuations</subject><issn>2165-0608</issn><issn>2693-3616</issn><isbn>9781424444359</isbn><isbn>1424444357</isbn><isbn>1424444365</isbn><isbn>9781424444366</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9zztPwzAUBWDzqEQL2ZFY_AcS_IjdeAYqmIG5MukNurSxi6-jKv-eIIWVs5zhk450GLuVopJSuPvXl_dKCeEqI7WthTpjK1mreoq25pwtlXW61FbaC1a4dfNnxl1OJq0phRXNgq1-N5xQrllfsYLoS0ypjdZOLBk8QobUY_AZY-Cx48d4gsS_B3_APPIdUh7Shw8tEMcwK42UoSc-EIZPTns4BSDiPuz4fkg5EhJvI3Qdtggh0w1bdP5AUMx9ze42T28PzyUCwPaYsPdp3M439f_6A1O0UGM</recordid><startdate>200904</startdate><enddate>200904</enddate><creator>Kocaman, Cagri</creator><creator>Ozdemir, Muammer</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200904</creationdate><title>Determination of power quality disturbances in power systems using skewness and kurtosis coefficients</title><author>Kocaman, Cagri ; Ozdemir, Muammer</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_51364023</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Frequency</topic><topic>MATLAB</topic><topic>Power quality</topic><topic>Power system harmonics</topic><topic>Power system transients</topic><topic>Power systems</topic><topic>Sampling methods</topic><topic>Statistical analysis</topic><topic>Voltage fluctuations</topic><toplevel>online_resources</toplevel><creatorcontrib>Kocaman, Cagri</creatorcontrib><creatorcontrib>Ozdemir, Muammer</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kocaman, Cagri</au><au>Ozdemir, Muammer</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Determination of power quality disturbances in power systems using skewness and kurtosis coefficients</atitle><btitle>2009 IEEE 17th Signal Processing and Communications Applications Conference</btitle><stitle>SIU</stitle><date>2009-04</date><risdate>2009</risdate><spage>341</spage><epage>344</epage><pages>341-344</pages><issn>2165-0608</issn><eissn>2693-3616</eissn><isbn>9781424444359</isbn><isbn>1424444357</isbn><eisbn>1424444365</eisbn><eisbn>9781424444366</eisbn><abstract>In this paper; the signals consisting of power quality disturbances is determined by using statistical methods. Five kind of power quality disturbances such as voltage swells, voltage sags, voltage with harmonics, transients and flicker which last duration of 18 periods are constituted by using MATLAB. Sampling frequency is 12.8 kHz. Skewness and kurtosis coefficients of constituted signals are calculated in local frames. Changes of skewness and kurtosis coefficients' amplitudes determine the moment of occurrences of constituted disturbances. It is observed that only skewness or only kurtosis coefficients are not adequate for distinguishing voltage swells, voltage sags, voltage with harmonics, transients and flicker. It is concluded that in order to distinguish constituted these disturbances both of these coefficients must be taken into consideration at the same time.</abstract><pub>IEEE</pub><doi>10.1109/SIU.2009.5136402</doi></addata></record>
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Frequency MATLAB Power quality Power system harmonics Power system transients Power systems Sampling methods Statistical analysis Voltage fluctuations
title	Determination of power quality disturbances in power systems using skewness and kurtosis coefficients
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