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Fault Location Method Based on EEMD and Traveling-Wave Speed Characteristics for HVDC Transmission Lines

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DOI: 10.4236/jpee.2015.34016    2,959 Downloads   3,431 Views   Citations

ABSTRACT

This paper presents a method of Traveling Wave Fault location based on the improved Hilbert- Huang Transform. First, Intrinsic Mode Functions (IMF) of traveling waves are extracted by Ensemble Empirical Mode Decomposition (EEMD). Then Hilbert Transform is applied to calculate the corresponding instantaneous frequency of the highest frequency component (IMF1), the instantaneous frequency and corresponding time-frequency graph are obtained. Second, the arrival time and speed can be detected by the first instantaneous frequency’s mutational point. Finally, the improved two-terminal traveling wave fault location principle is used to calculate the fault distance. Relevant simulation results are performed to verify the correctness of the method by EMTDC software.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Liu, J. , Duan, J. , Lu, H. and Sun, Y. (2015) Fault Location Method Based on EEMD and Traveling-Wave Speed Characteristics for HVDC Transmission Lines. Journal of Power and Energy Engineering, 3, 106-113. doi: 10.4236/jpee.2015.34016.

References

[1] Wu, L.-Y., He, Z.-Y. and Qian, Q.-Q. (2008) A Frequency Domain Approach to Single-Ended Traveling Wave Fault Location. Proceedings of the CSEE, 28, 98-103.
[2] Dong, X.-Z., Ge, Y.-Z. and Xu, B.-Y. (1999) Research of Fault Location Based on Current Traveling Waves. Proceedings of the CSEE, 19, 76-80.
[3] Lu, W. (2011) Research of Transient Current Protection Algorithms for HVDC Transmission Lines. Xi’an University of Technology.
[4] Ma, C.-R. (2007) Prospect and Development of Transmission Line Fault Location using Traveling Wave. Relay, 35, 11-15.
[5] Deng, B.-F. (2008) HVDC Line Protection Summary of Tian-Guang Project. Power System Protection and Control, 36, 71-74.
[6] Tan, J., Huang, Z., Qiu, Y.-F., et al. (2004) Wavelet Transform Based Double Terminal Method of Traveling Wave Fault Location in Double-Circuit Parallel Transmission Line. Automation of Electric Power Systems, 28, 51-55.
[7] Huang, Z.-J. and Chen, Y.-P. (2006) Selection of Wavelet Bases for Traveling Wave Fault Location. Automation of Electric Power Systems, 30, 61-64.
[8] Zhong, Y.-M., Qin, S.-R. and Tang, B.-P. (2002) Study on a New Transform Method for Vibration Signal. Journal of Vibration Engineering, 15, 233-238.
[9] Zhang, Y.-N., Xu, M., Liu, Y.-H. and Cai, Z.-X. (2011) A Novel Travelling Wave Fault Location Algorithm for HVDC Transmission Lines Considering Variation Characteristics of Wave Speed. 35, 227-232.
[10] Huang, N.E., Shen, Z. and Retal, L.S. (1998) The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Nonstationary Time Series Analysis. Proceedings of the Royal Society London, 454, 909-995.
[11] Zhong, Y.-M. and Huang, H. (2002) Research on the Local-Instantaneous Signal Analysis Theory of the Hilbert-Huang Transform. Chongqing University, 4.
[12] Li, T.-Y., Zhao, Y. and Li, N. (2005) Apply Empirical Mode Decomposition Based Hilbert Transform to Power System Transient Signal Analysis. Automation of Electric Power Systems, 29, 49-52.
[13] Li, A.-M. (2010) A Study on Fault Analysis and Protection of the HVDC Transmission Line. South China University of Technology, Guangzhou.
[14] Matick, R.E. (Luan, Y.M., et al., Translated) (1982) Transmission Lines for Digital and Communi-cation Networks. Science Press, Beijing, 61-65.
[15] Zhang, J., Wang, C., Wu, N. and Shu, H.-C. (2005) HVDC Transmission System Fault Identification and Locating Algorithm Using Mathematical Morphology. Yunnan Electric Power, 33, 15-18.
[16] Grivet, P. (Huang, H.-S., et al., Translated) (1983) The Physical Basis of High Frequency Transmission Lines. Shanghai science and Technology Press, Shanghai, 168-185.
[17] Shu, H.-C. (2009) Signal Processing of Power Engineering Application. Science Press, Beijing.

  
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