Abstract
In the present work, an adaptive filter bank based on independent component analysis (ICA) for harmonic, inter-harmonic and sub-harmonic extraction from voltage signals is proposed. The first stage of the proposed method comprises in generating a multi-channel data representation by using a finite impulse response (FIR) filter bank. In the second stage, this multi-channel representation is presented to the ICA algorithm, which extracts the harmonic, sub-harmonic and inter-harmonic components from the monitored signal. The method was evaluated with three simulated cases, considering harmonics, inter-harmonics, sub-harmonics and voltage sag, and a real signal acquired from a 13.8 kV arc furnace corrupted by harmonics, supra-harmonics, flicker and sag. The influence of noise and disturbances, the size of the processing signal window and the computational complexity of the proposed method were investigated. The results showed that the method was able to extract the disturbance components present in the signal accurately and with lower computationally complexity in comparison with the classical ICA-based method.
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A. Belouchrani, K. Abed-Meraim, J.-F. Cardoso, E. Moulines, A blind source separation technique using second-order statistics. IEEE Trans. Signal Process. 45(2), 434–444 (1997). https://doi.org/10.1109/78.554307
M.E. Davies, C.J. James, Source separation using single channel ICA. Signal Process. 87(2007), 1819–1832 (2007)
D.D. Ferreira, E.A. Nagata, S.C. Ferreira, J.M. de Seixas, C.A. Duque, C.A.G. Marques, J.D.S. Guedes, A.S. Cerqueira, Method based on independent component analysis for harmonic extraction from power system signals. Electr. Power Syst. Res. 119, 19–24 (2015). https://doi.org/10.1016/j.epsr.2014.09.001
D.D. Ferreira, J.M. de Seixas, A.S. Cerqueira, C.A. Duque, M.H.J. Bollen, P.F. Ribeiro, Extracting the transient events from power system signals by independent component analysis. Int. Trans. Electr. Energy Syst. 26(4), 884–900 (2016). https://doi.org/10.1002/etep.2114
F.J. Harris, On the use of windows for harmonic analysis with the discrete Fourier transform. Proc. IEEE 66(1), 51–83 (1978). https://doi.org/10.1109/PROC.1978.10837
C. He, Q. Shu, Separation and analyzing of harmonics and inter-harmonics based on single channel independent component analysis. Int. Trans. Electr. Energy Syst. 25(1), 169–179 (2015). https://doi.org/10.1002/etep.1832
C. He, Q. Shu, T. Liu, X. Han, A time-domain statistical approach for harmonics separation and analysis. Int. Trans. Electr. Energy Syst. 27(1), e2239 (2017). https://doi.org/10.1002/etep.2239
A. Hyvarinen, J. Karhunen, E. Oja, Independent Component Analysis (Wiley, Hoboken, 2001)
A. Kachenoura, L. Albera, L. Senhadji, P. Comon, ICA: a potential tool for BCI systems. IEEE Signal Process. Mag. 25(1), 57–68 (2008). https://doi.org/10.1109/MSP.2008.4408442
M.D. Kusljevic, J.J. Tomic, L.D. Jovanovic, Frequency estimation of three-phase power system using weighted-least-square algorithm and adaptive FIR filtering. IEEE Trans. Instrum. Meas. 59(2), 322–329 (2010). https://doi.org/10.1109/TIM.2009.2023816
C.H. Martins, L.M. Silva, C. Duque, A.S. Cerqueira, E.C. Teixeira, P.F. Ribeiro, A new time-varying harmonic decomposition structure based on recursive hanning window, in 2012 IEEE 15th International Conference on Harmonics and Quality of Power (IEEE, 2012), pp. 70–75. https://doi.org/10.1109/ICHQP.2012.6381278
S.K. Mitra, Digital Signal Processing: A Computer-Based Approach (McGraw-Hill/Irwin, New York, 2007)
E.A. Nagata, D.D. Ferreira, M.H.J. Bollen, B.H.G. Barbosa, E.G. Ribeiro, C.A. Duque, P.F. Ribeiro, Real-time voltage sag detection and classification for power quality diagnostics. Measurement 164, 108097 (2020). https://doi.org/10.1016/j.measurement.2020.108097
P.S. Oliveira, M.A.A. Lima, A.S. Cerqueira, C.A. Duque, D.D. Ferreira, Harmonic extraction based on independent component analysis and quadrature matched filters, in 2016 17th International Conference on Harmonics and Quality of Power (ICHQP) (IEEE, 2016), pp. 344–349. https://doi.org/10.1109/ICHQP.2016.7783310
D.R. Oliveira, M.A.A. Lima, L.R.M. Silva, D.D. Ferreira, C.A. Duque, Second order blind identification algorithm with exact model order estimation for harmonic and interharmonic decomposition with reduced complexity. Int. J. Electr. Power Energy Syst. 125, 106415 (2021). https://doi.org/10.1016/j.ijepes.2020.106415
Recommended Practice and Requirements for Harmonic Control in Electric Power Systems. IEEE STD 519-2014 (Revision IEEE STD 519-1992). Published online 2014. https://doi.org/10.1109/IEEESTD.2014.6826459
E.G. Ribeiro, T.M. Mendes, G.L. Dias, E.R.S. Faria, F.M. Viana, B.H.G. Barbosa, D.D. Ferreira, Real-time system for automatic detection and classification of single and multiple power quality disturbances. Measurement 128, 276–283 (2018). https://doi.org/10.1016/j.measurement.2018.06.059
Systems P-SP and CI for P. Harmonics DataBase. Harmonics Database. https://www.ufjf.br/pscope-eng/ieee-task-force/database/
X. Tang, C. Zou, Z. Huang, M. Zhang, A recursive harmonic current detection method without fictitious orthogonal components for single-phase system. Int. J. Electr. Power Energy Syst. 125, 106421 (2021). https://doi.org/10.1016/j.ijepes.2020.106421
J.J. Tomic, M.D. Kusljevic, V.V. Vujicic, A new power system digital harmonic analyzer. IEEE Trans. Power Deliv. 22(2), 772–780 (2007). https://doi.org/10.1109/TPWRD.2007.893372
Y. Xia, B.K. Johnson, Y. Jiang, N. Fischer, H. Xia, A new method based on artificial neural network, Wavelet Transform and Short Time Fourier Transform for Subsynchronous Resonance detection. Int. J. Electr. Power Energy Syst. 103, 377–383 (2018). https://doi.org/10.1016/j.ijepes.2018.06.019
H. Xue, M. Wang, R. Yang, Y. Zhang, Power system frequency estimation method in the presence of harmonics. IEEE Trans. Instrum. Meas. 65(1), 56–69 (2016). https://doi.org/10.1109/TIM.2015.2477157
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This work was carried out with support from the Coordination for the Improvement of Higher Education Personnel - Brazil (CAPES) - Improvement Code 001, the National Council for Scientific and Technological Development (CNPq) and the Minas Gerais Research Support Foundation (FAPEMIG ).
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Júnior, C.A.R., Lima, M.A.A., Mendes, T.M. et al. Adaptive Filter Bank Based on Independent Component Analysis for Harmonic, Inter-Harmonic and Sub-Harmonic Extraction. Circuits Syst Signal Process 41, 7077–7100 (2022). https://doi.org/10.1007/s00034-022-02114-3
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DOI: https://doi.org/10.1007/s00034-022-02114-3