DocumentCode :
2195306
Title :
Intelligent applications in substations disturbance analysis
Author :
Kezunovic, Mladen
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
fYear :
2004
fDate :
6-10 June 2004
Firstpage :
719
Abstract :
This paper is prepared for a panel session titled "Intelligent Applications in Substations" and represents a summary of the presentation on the subject of disturbance analysis. The topics covered by this presentation include the use of the following intelligent system techniques: expert systems, neural networks, fuzzy logic, genetic algorithms and advanced signal processing. The applications covered are all related to different aspects of automated analysis of disturbances ranging from classification of faults and power quality disturbances to automated analysis of faults and fault clearing sequences. Each of the mentioned implementations is developed by the author of this paper and his research team, and demonstrated using utility data.
Keywords :
electrical faults; expert systems; fuzzy logic; genetic algorithms; neural nets; power supply quality; signal processing; substation automation; advanced signal processing; automated analysis; expert systems; fuzzy logic; genetic algorithms; intelligent system techniques; neural networks; power quality disturbances; substations disturbance analysis; Circuit breakers; Circuit faults; Expert systems; Fuzzy logic; Genetic algorithms; Neural networks; Performance analysis; Power quality; Power system faults; Substations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2004. IEEE
Print_ISBN :
0-7803-8465-2
Type :
conf
DOI :
10.1109/PES.2004.1372910
Filename :
1372910
Link To Document :
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