A Hybrid Technique for Harmonics and Interharmonics Estimation in Power System

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A new hybrid technique based on ADALINE (Adaptive linear element neuron) associated with Prony algorithm is presented for harmonics and interharmonics estimation in power system. The Prony algorithm can detect the accurate frequencies of harmonics and interharmonics, and the ADALINE can get the amplitudes and phase angles. If the noise is present, the Prony algorithm can get less accurately frequencies to reduce convergence time of the ADALINE, and the ADALINE will obtain higher accurately frequencies, amplitudes and phase angles by adjusting the weights. The validity and feasibility of the proposed algorithm is demonstrated by numerical simulations.

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1551-1556

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April 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] T. Lobos, J. Rezmer, Real-time determination of power system frequency, IEEE Trans. Instrumentation and Measurement, Vol. 46, No. 4, pp.877-881, (1997).

DOI: 10.1109/19.650792

Google Scholar

[2] C. -I Chen , Virtual multifunction power quality analyzer based on adaptive linear neural network, IEEE Trans. ind. Electron., vol. 59, no. 8, pp.3321-3329, Aug. (2012).

DOI: 10.1109/tie.2011.2151811

Google Scholar

[3] Sachin K. Jain, S.N. Singh, Harmonics estimation in emerging power system : Key issues and challenges, Electric Power systems Research vol. 81, pp.1754-1766, (2011).

DOI: 10.1016/j.epsr.2011.05.004

Google Scholar

[4] H. Wen, Z. S. Teng, Y. Wang and X. G. Hu, Simple interpolated FFT algorithm based on minimizing sidelobe windows for power-harmonic analysis, IEEE Trans. Power Electron., vol. 26, no. 9, pp.2570-2579, Sep. (2011).

DOI: 10.1109/tpel.2011.2111388

Google Scholar

[5] A. Bracale, P. Caramia , G. Carpinelli , Adaptive Prony method for waveform distortion detection in power systems, Electrical Power and Energy Systems 29 (2007) 371-379.

DOI: 10.1016/j.ijepes.2006.10.005

Google Scholar

[6] Ahmet Alkan, S. Ahmet, Yilmaz, Frequency domain analysis of power system transients using Welch and Yule-Walker AR methods, Energy Convers. Manage. 48 (2007) 2129-2135.

DOI: 10.1016/j.enconman.2006.12.017

Google Scholar

[7] A. Bracale, G. Carpinelli, An ESPRIT and DFT-based new method for thewaveform distortion assessment in power systems, in: 20th Int. Conf. and Exhibition on Electricity Distribution, CIRED, 2009, pp.1-4.

DOI: 10.1049/cp.2009.0746

Google Scholar

[8] Lin H. C. , Intelligent neural network-based fast power system harmonic detection, IEEE Trans Ind Electron 54(1): 43-53(2007).

DOI: 10.1109/tie.2006.888685

Google Scholar

[9] G. W. Chang, C. -I Chen, and Y. F. Teng, Radial-basis-function-based neural network for harmonic detection, IEEE Trans. Ind. Electron., vol. 57, no. 6, pp.2171-2179, Jun. (2010).

DOI: 10.1109/tie.2009.2034681

Google Scholar

[10] Dash PK, Swain DP, Liew AC, Rahman S , An adaptive linear combiner for on-line tracking of power system harmonics, IEEE Trans Power Syst 11(4): 1730-1735(1996).

DOI: 10.1109/59.544635

Google Scholar

[11] A. Bracale, P. Caramia, and G. Carpinelli, Adaptive Prony method for waveform distortion detection in power systems, Int. J. Elect. Power Energy Syst. , vol. 29, no. 5, pp.371-379, Jun. (2007).

DOI: 10.1016/j.ijepes.2006.10.005

Google Scholar

[12] G.R.B. Prony, Essai experimantal et analytique, etc, Journal de L' Ecole Polytechnique1 (1795) 24-76.

Google Scholar

[13] G. W. Chang and C. -I Chen, An accurate time-domain procedure for harmonicsand interharmonics detection, IEEE Trans. Power Del., vol. 25, no. 3, pp.1787-1795, Jul. (2010).

DOI: 10.1109/tpwrd.2009.2037230

Google Scholar

[14] Wang Xiaohua, He Yigang, Neural network based high precision power system frequency harmonic analysis, Proceeding of the CSEE, 2007, 27(34): 102-106(in Chinese).

Google Scholar

[15] Zeng Zhezhao, Wen Hui, Wang Yaonan, An approach with high accuracy for intelligent analysis of power system harmonics, Proceeding of the CSEE, 2006, 26(10): 23-27(in Chinese).

Google Scholar