A novel approach for spectral analysis of monitored power systems

Author

Ribeiro, Moisés V. ; Mitra, Sanjit K. ; Romano, Joao Marcos T

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA

fYear

2004

fDate

12-15 Sept. 2004

Firstpage

255

Lastpage

259

Abstract

This paper presents a novel approach that combines the adaptive and nonadaptive notch filters, multilayer perceptron neural network, and warped discrete Fourier transform (WDFT) to estimate amplitudes, frequencies and phases of the fundamental and harmonic components in power systems. Simulation results show that only 1.25 cycles of the fundamental component are enough to provide small frequency, phase and amplitude error estimations.

Keywords

adaptive filters; amplitude estimation; discrete Fourier transforms; frequency estimation; multilayer perceptrons; notch filters; phase estimation; power harmonic filters; power supply quality; power system analysis computing; power system harmonics; power system measurement; power system parameter estimation; signal processing; spectral analysis; adaptive notch filter; amplitude error estimations; digital signal processing; frequency estimation; multilayer perceptron neural network; nonadaptive notch filters; power quality; power system harmonic components; power system monitoring; spectral analysis; warped discrete Fourier transform; Adaptive filters; Frequency estimation; Monitoring; Multilayer perceptrons; Neural networks; Power harmonic filters; Power system analysis computing; Power system harmonics; Power system simulation; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Harmonics and Quality of Power, 2004. 11th International Conference on

Print_ISBN

0-7803-8746-5

Type

conf

DOI

10.1109/ICHQP.2004.1409363

Filename

1409363