Cluster analysis of half-cycle duration measurements to classify local and network events
This paper presents a real case study of the half-cycle duration measurement and classification. The study is based on data gathered at three different low voltage locations. In order to carry out the measurements, a special facility (OSC function) of a custom designed equipment called MOT was used....
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| creator | Apetrei, D. Chicco, G. Postolache, P. Golovanov, N. Albu, M.M. |
| description | This paper presents a real case study of the half-cycle duration measurement and classification. The study is based on data gathered at three different low voltage locations. In order to carry out the measurements, a special facility (OSC function) of a custom designed equipment called MOT was used. After the introductory aspects concerning the regulation for frequency measurement, the paper presents the structure of the MOT equipment and illustrates the characteristics of the data gathered. These data are then analysed through a hierarchical clustering method to identify and classify the events. The results obtained and the main ideas for future developments are illustrated and discussed in the paper. |
| doi_str_mv | 10.1109/PTC.2009.5281799 |
| format | Conference Proceeding |
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The results obtained and the main ideas for future developments are illustrated and discussed in the paper.</description><subject>classification</subject><subject>Clustering methods</subject><subject>frequency</subject><subject>Frequency measurement</subject><subject>half cycle time duration</subject><subject>hierarchical clustering</subject><subject>local event</subject><subject>Low voltage</subject><subject>network event</subject><subject>Power measurement</subject><subject>Power system dynamics</subject><subject>Power system interconnection</subject><subject>Power system protection</subject><subject>Power system relaying</subject><subject>Protective relaying</subject><subject>Time measurement</subject><isbn>9781424422340</isbn><isbn>1424422345</isbn><isbn>9781424422357</isbn><isbn>1424422353</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVUEtLxDAYjIigrL0LXvIHWvNqHkcpvmBBD714WpL0C1bTVpJW6b-34l6cyzAwMzCD0BUlFaXE3Ly0TcUIMVXNNFXGnKDCKE0FE4IxXqvTf1qQc1Tk_E42iJpTaS7QaxOXPEPCdrRxzX3GU8BvNobSrz4C7pZk534a8QA2LwkGGOeM5wn7aHPuw4rj5G3c4h0eYf6e0geGr1_TJToLNmYojrxD7f1d2zyW--eHp-Z2X_aGzCUT3ApOKHHS2VoT7mQnglfWcGacCR2VWnnltFfUOya140oTKqjqJMA2aoeu_2p7ADh8pn6waT0c_-A_PbdT8w</recordid><startdate>200906</startdate><enddate>200906</enddate><creator>Apetrei, D.</creator><creator>Chicco, G.</creator><creator>Postolache, P.</creator><creator>Golovanov, N.</creator><creator>Albu, M.M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200906</creationdate><title>Cluster analysis of half-cycle duration measurements to classify local and network events</title><author>Apetrei, D. ; Chicco, G. ; Postolache, P. ; Golovanov, N. ; Albu, M.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-243a43010b6ba5803b6d4fc7a9329b9fd1687c7b8c71cb268b37801417d6ee223</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>classification</topic><topic>Clustering methods</topic><topic>frequency</topic><topic>Frequency measurement</topic><topic>half cycle time duration</topic><topic>hierarchical clustering</topic><topic>local event</topic><topic>Low voltage</topic><topic>network event</topic><topic>Power measurement</topic><topic>Power system dynamics</topic><topic>Power system interconnection</topic><topic>Power system protection</topic><topic>Power system relaying</topic><topic>Protective relaying</topic><topic>Time measurement</topic><toplevel>online_resources</toplevel><creatorcontrib>Apetrei, D.</creatorcontrib><creatorcontrib>Chicco, G.</creatorcontrib><creatorcontrib>Postolache, P.</creatorcontrib><creatorcontrib>Golovanov, N.</creatorcontrib><creatorcontrib>Albu, M.M.</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>Apetrei, D.</au><au>Chicco, G.</au><au>Postolache, P.</au><au>Golovanov, N.</au><au>Albu, M.M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Cluster analysis of half-cycle duration measurements to classify local and network events</atitle><btitle>2009 IEEE Bucharest PowerTech</btitle><stitle>PTC</stitle><date>2009-06</date><risdate>2009</risdate><spage>1</spage><epage>7</epage><pages>1-7</pages><isbn>9781424422340</isbn><isbn>1424422345</isbn><eisbn>9781424422357</eisbn><eisbn>1424422353</eisbn><abstract>This paper presents a real case study of the half-cycle duration measurement and classification. The study is based on data gathered at three different low voltage locations. In order to carry out the measurements, a special facility (OSC function) of a custom designed equipment called MOT was used. After the introductory aspects concerning the regulation for frequency measurement, the paper presents the structure of the MOT equipment and illustrates the characteristics of the data gathered. These data are then analysed through a hierarchical clustering method to identify and classify the events. The results obtained and the main ideas for future developments are illustrated and discussed in the paper.</abstract><pub>IEEE</pub><doi>10.1109/PTC.2009.5281799</doi><tpages>7</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | classification Clustering methods frequency Frequency measurement half cycle time duration hierarchical clustering local event Low voltage network event Power measurement Power system dynamics Power system interconnection Power system protection Power system relaying Protective relaying Time measurement |
| title | Cluster analysis of half-cycle duration measurements to classify local and network events |
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