DocumentCode :
1683032
Title :
Automatic learning methods applied to dynamic security assessment of power systems
Author :
PIERRE, JCrBme ; LEBREVELEC, Cyril ; Wehenkel, Louis
Author_Institution :
Electr. de France, Clamart, France
fYear :
1999
Firstpage :
180
Abstract :
This paper describes two applications of automatic learning methods applied to the dynamic security assessment of power systems. These studies use a dynamic database describing the dynamic behavior of the French power system This database is the result of a statistical approach applied to power systems security assessment. Through these two studies, the authors expose the potentiality of automatic learning methods and statistical approach applied to dynamic security assessment of power systems.
Keywords :
learning (artificial intelligence); power system dynamic stability; power system security; statistical analysis; France; automatic learning methods; dynamic behavior; dynamic database; power system dynamic security assessment; statistical approach; Data security; Databases; Learning systems; Power system analysis computing; Power system dynamics; Power system modeling; Power system protection; Power system security; Power system simulation; Power system stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
Conference_Location :
Budapest, Hungary
Print_ISBN :
0-7803-5836-8
Type :
conf
DOI :
10.1109/PTC.1999.826612
Filename :
826612
Link To Document :
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