DocumentCode
2905602
Title
Power quality disturbances classification using specialized neural networks
Author
Cerqueira, Augusto S. ; Ferreira, Danton D. ; Pinto, Marcia B S ; Salmento, Marlon L G ; De Seixas, José M.
Author_Institution
Dept. of Electr. Circuits, Fed. Univ. of Juiz de Fora, Juiz de Fora, Brazil
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
1
Lastpage
5
Abstract
This work presents an automatic classification system for power quality disturbances based on specialized neural networks. The proposed system is capable to classify multiple disturbances, which is very important in some power systems scenarios. A system was designed and tested with synthetic signals generated by software and the global efficiency achieved was 98.9%. The system was also evaluated with real data achieving good results.
Keywords
neural nets; power engineering computing; power supply quality; power system faults; multiple disturbances; power quality disturbances classification; specialized neural networks; Artificial neural networks; Equations; Harmonic analysis; Pattern recognition; Power quality; Transient analysis; Multiple Disturbances; Pattern Recognition; Power Quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Harmonics and Quality of Power (ICHQP), 2010 14th International Conference on
Conference_Location
Bergamo
Print_ISBN
978-1-4244-7244-4
Electronic_ISBN
978-1-4244-7245-1
Type
conf
DOI
10.1109/ICHQP.2010.5625328
Filename
5625328
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