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Power quality disturbances classification using specialized neural networks

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5 Author(s)
Cerqueira, A.S. ; Dept. of Electr. Circuits, Fed. Univ. of Juiz de Fora, Juiz de Fora, Brazil ; Ferreira, D.D. ; Pinto, M.B.S. ; Salmento, M.L.G.
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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.

Published in:

Harmonics and Quality of Power (ICHQP), 2010 14th International Conference on

Date of Conference:

26-29 Sept. 2010