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<bibitem type="C">   <ARLID>0353116</ARLID> <utime>20240103194511.9</utime><mtime>20110104235959.9</mtime>    <DOI>10.1109/ISGTEUROPE.2010.5638992</DOI>           <title language="eng" primary="1">Non-stationary Autoregressive Model for On-line Detection of Inter-area Oscillations in Power Systems</title>  <specification> <page_count>5 s.</page_count> <media_type>www</media_type> </specification>    <serial><ARLID>cav_un_epca*0353115</ARLID><ISBN>978-1-4244-8508-6</ISBN><title>Innovative Smart Grid Technologies Conference Europe</title><part_num/><part_title/><page_num>1-5</page_num><publisher><place>Gothenburg</place><name>IEEE</name><year>2010</year></publisher></serial>    <keyword>power system oscillation</keyword>   <keyword>autoregressive model</keyword>    <author primary="1"> <ARLID>cav_un_auth*0263921</ARLID> <name1>Sidorov</name1> <name2>D.</name2> <country>RU</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0267769</ARLID> <name1>Panasetsky</name1> <name2>D.</name2> <country>RU</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0101207</ARLID> <name1>Šmídl</name1> <name2>Václav</name2> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept>Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department>AS</department> <institution>UTIA-B</institution> <full_dept>Department of Adaptive Systems</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2010/AS/smidl-non-stationary autoregressive model for on-line detection of inter-area oscillations in power systems.pdf</url> </source>        <cas_special> <project> <project_id>GP102/08/P250</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0241640</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">This paper addresses early on-line detection of inter-area  electro-mechanical oscillations in power systems using dynamic  data such as currents, voltages and angle differences measured  across transmission lines in real time. The main objective is to give the  transmission operator qualitative information regarding stability  margins. In our approach, the observed signal is  modeled with the non-stationary second order autoregressive model. Bayesian  estimation of the system is based on the forgetting approach. The stability  margins are obtained as posterior probabilities that the poles of the estimated  system are unstable. The approach  is demonstrated on real retrospective data recorded in  a 500 kV power grid and voltage data obtained by numerical simulations.</abstract>  <action target="WRD"> <ARLID>cav_un_auth*0267770</ARLID> <name>Innovative Smart Grid Technologies Conference Europe (ISGT Europe)</name> <place>Gothenburgh</place> <dates>11.10.2010-13.10.2010</dates>  <country>SE</country> </action>    <reportyear>2011</reportyear>  <RIV>JA</RIV>      <permalink>http://hdl.handle.net/11104/0192446</permalink>        <arlyear>2010</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0353115 Innovative Smart Grid Technologies Conference Europe 978-1-4244-8508-6 1 5 Gothenburg IEEE 2010 </unknown> </cas_special> </bibitem>