A New Method to Detect Harmonics and Inter-Harmonics Based on Hilbert Marginal Spectrum

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Aiming at the problem that harmonic pollution is becoming more and more serious in power system, a new method to detect harmonics and inter-harmonics based on Hilbert marginal spectrum is proposed in this paper. Firstly, the original signal is decomposed into several Intrinsic Mode Functions through Empirical Mode Decomposition. Then Hilbert marginal spectrum is obtained through Hilbert Huang Transform. It contains the information of signal’s harmonics frequency and those amplitudes. Finally, both harmonics and inter-harmonics are detected by this method. Fourier transform lacks the ability of time-frequency analysis. Wavelet transform is affected by the selection of wavelet base. This method overcomes these shortages and can detect the component of each harmonic quickly and accurately. Simulation result verifies that this method can meet the requirement of voltage and current distortion detection in power system.

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Edited by:

Mohamed Othman

Pages:

1060-1063

Citation:

M. F. Gong et al., "A New Method to Detect Harmonics and Inter-Harmonics Based on Hilbert Marginal Spectrum", Applied Mechanics and Materials, Vols. 229-231, pp. 1060-1063, 2012

Online since:

November 2012

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$38.00

[1] XIAO Yan-hong, MAO Xiao, ZHOU Jing-ling, et al. A SURVEY ON MEASURING METHOD FOR HARMONICS IN POWER SYSTEM. Power System Technology, vol 26, pp.61-64, (2002).

[2] MEI Yong, WANG Bolin. Application of Order-Reducing Fourier Transform Algorithm in Power System Harmonics Analysis, Power System Technology. Vol 34, pp.117-120, (2010).

[3] Heydt G T, Galli A W. Transient power quality problems analyzed using wavelets, IEEE Trans. On Power Delivery, vol 12, pp.908-915, (1997).

DOI: https://doi.org/10.1109/61.584412

[4] ZHANG Ming,LI Kaicheng, HU Yisheng. Real-time high accuracy harmonic power measurement using adaptive Fourier linear combiner, Electric Power Automation Equipment, vol 29, pp.64-68, (2009).

[5] TANG Sheng-qing, CHENG Xiao-hua. A Harmonic Measuring Approach Based on Multilayered Feed Forward Neural Network, Proceedings of the CSEE, vol 26, pp.90-94, (2006).

[6] LI Sheng-qing, ZHU Ying-hao, ZHOU You-qing, et al. FOUR- PHASE TRANSMISSION HARMONIC CURRENT DETECTION METHOD BASED ON INSTANTANEOUS REACTIVE POWER THEORY, Proceedings of the CSEE, vol 24, pp.12-17, (2004).

[7] PAN Hong-bin, LUO An, TANG Jie, et al. An Improved Adaptive Harmonic Detection Method Based on Least Squares Algorithm, Proceedings of the CSEE, vol 28, pp.144-151, (2008).

[8] ZHONG You-ming, QIN Shu-ren, TANG Bao-ping. Study on the marginal spectrum in Hilbert-Huang transform, Systems Engineering and Electronics, vol 36, pp.1323-1326, (2004).

[9] ZHAO Cheng-yong, HE Ming-feng. A NOVEL METHOD FOR HARMONICS MEASUREMENT USING PHASE INFORMATION OF COMPLEX WAVELET TRANSFORM, Proceedings of the CSEE, vol 25, pp.38-42. (2005).

[10] Zbigniwe L, Tadeusz L, Jack R. Advanced spectrum estimation methods for signal analysis in power electronics, IEEE Trans on Industrial Electronics, vol 50, pp.514-519, (2003).

DOI: https://doi.org/10.1109/tie.2003.812361