Nonlinear filtering for Power Quality disturbances analysis

Author

Cerqueira, Augusto S. ; Lima, Marcelo A A ; Salmento, Marlon L G ; De Souza, Julio V. ; Coury, Denis V.

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

7

Abstract

In this work, a new method for PQ analysis is proposed based on the use of neural processing aiming to decouple the information from different disturbances from the power system signal. The system was implemented and tested using a simulated database showing the good performance of the proposed technique for signal separation. It was shown that the proposed method could also be used as a preprocessing technique for PQ monitoring systems.

Keywords

fault diagnosis; nonlinear filters; power filters; power supply quality; source separation; neural processing; nonlinear filtering; power quality disturbances analysis; power system signal; signal separation; simulated database; Artificial neural networks; Correlation; Harmonic analysis; Monitoring; Noise; Power systems; Transient analysis; Multiple Disturbances; Neural Networks; Nonlinear Filtering; Power Quality Analysis; Power Quality Disturbance;

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.2010.5625382

Filename

5625382