Title :
Artificial neural network model for analysis of power system harmonics
Author :
Keerthipala, W.W.L. ; Chong, Low Tah ; Leong, Tham Chong
Author_Institution :
Nanyang Technol. Univ., Singapore
Abstract :
Harmonic distortion analysis, which is necessary in order to improve the quality of power distributed, is traditionally achieved using fast Fourier transform (FFT) algorithm. FFT procedure is however susceptible to the presence of noise and subharmonics in the distorted signal. Further limitations arise due to the use of Radix-2 based FFT in harmonic analysis of power frequency (50 Hz or 60 Hz) signals. This paper presents a novel technique, based on neural networks, for analysis of power system harmonics
Keywords :
fast Fourier transforms; harmonic analysis; harmonic distortion; neural nets; power system harmonics; 50 Hz; 60 Hz; FFT; Radix-2; artificial neural network; fast Fourier transform; harmonic distortion analysis; noise; power system harmonics analysis; subharmonics; Algorithm design and analysis; Artificial neural networks; Fast Fourier transforms; Frequency; Harmonic analysis; Harmonic distortion; Neural networks; Power system analysis computing; Power system harmonics; Power system modeling;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.487539
