Intelligent Neural Network-Based Fast Power System Harmonic Detection
- 5 February 2007
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Industrial Electronics
- Vol. 54 (1), 43-52
- https://doi.org/10.1109/tie.2006.888685
Abstract
Nowadays, harmonic distortion in power systems is attracting significant attention. Traditional technical tools for harmonic distortion analysis using either fast Fourier transform or discrete Fourier transform are, however, susceptible to the presence of noise in the distorted signals. Harmonic detection by using Fourier transformation also requires input data for more than one cycle of the current waveform and requires time for the analysis in the next coming cycle. In this paper, an alternative method using neural network algorithm has achieved satisfactory results for fast and precise harmonic detection in noisy environments by providing only 1/2 cycle sampled values of distorted waveforms to neural network. Sensitivity considerations are conducted to determine the key factors affecting the performance efficiency of the proposed model to reach the lowest errors of testing patternsKeywords
This publication has 17 references indexed in Scilit:
- Single-phase shunt active power filter with novel harmonic detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Neural network approach of harmonics detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- An application of neural network in power system harmonic detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Harmonic detection by using neural networkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Predictive transient-following control of shunt and series active power filtersIEEE Transactions on Power Electronics, 2002
- Wavelet-transform-based algorithm for harmonic analysis of power system waveformsIEE Proceedings - Generation, Transmission and Distribution, 1999
- Active power line conditioner with a neural network controlIEEE Transactions on Industry Applications, 1997
- An application of neural network for harmonic detection in active filterPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Neural network for estimation of harmonic components in a power systemIEE Proceedings C Generation, Transmission and Distribution, 1992
- A parameter estimation approach to estimation of frequencies of sinusoidsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1981