Share This Article:

Transmission Lines Distance Protection Using Differential Equation Algorithm and Hilbert-Huang Transform

Abstract Full-Text HTML Download Download as PDF (Size:285KB) PP. 616-623
DOI: 10.4236/jpee.2014.24083    3,503 Downloads   4,552 Views   Citations

ABSTRACT

This paper proposed the scheme of transmission lines distance protection based on differential equation algorithms (DEA) and Hilbert-Huang transform (HHT). The measured impedance based on EDA is affected by various factors, such as the distributed capacitance, the transient response characteristics of current transformer and voltage transformer, etc. In order to overcome this problem, the proposed scheme applies HHT to improve the apparent impedance estimated by DEA. Empirical mode decomposition (EMD) is used to decompose the data set from DEA into the intrinsic mode functions (IMF) and the residue. This residue has monotonic trend and is used to evaluate the impedance of faulty line. Simulation results show that the proposed scheme improves significantly the accuracy of the estimated impedance.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Liu, X. and He, Z. (2014) Transmission Lines Distance Protection Using Differential Equation Algorithm and Hilbert-Huang Transform. Journal of Power and Energy Engineering, 2, 616-623. doi: 10.4236/jpee.2014.24083.

References

[1] Pathirana, V. and McLaren, P.G. (2005) A Hybrid Algorithm for High Speed Transmission Line Protection. IEEE Transactions on Power Delivery, 20, 2422-2428. http://dx.doi.org/10.1109/TPWRD.2005.852365
[2] Xu, Z.Y., Huang, S.F. and Ran, L. (2008) A Distance Protection Relay for a 1000-kV UHV Transmission Line. IEEE Transactions on Power Delivery, 23, 1795-1804. http://dx.doi.org/10.1109/TPWRD.2008.919038
[3] Vazquez, E., Castruita, J., Chacon, O.L. and Conde, A. (2007) A New Approach Travelling-Wave Distance Protection Part Ι: Algorithm. IEEE Transactions on Power Delivery, 22, 795-800.
[4] García-Gracia, M., El Halabi, N., Borroy, S. and Giménez de Urtasun, L. (2011) Phase Jump Correction Factor Applied to the Differential Equation Algorithm by an Adaptive Scheme. IET Generation, Transactions & Distribution, 5, 266-275. http://dx.doi.org/10.1049/iet-gtd.2010.0247
[5] Morais, A.P., Cardoso Jr., G., Mariotto, L. and Ferreira, G.D. (2011) Numerical Distance Relaying Algorithm Based on Mathematical Morphology and Least-Squares Curve Fitting Method. Electric Power Systems Research, 81, 1144-1150. http://dx.doi.org/10.1016/j.epsr.2011.01.003
[6] Zhang, Y.X. and Li, K.K. (2000) Study of Adaptive Window Length Algorithm Based on Linear Differential Equation. Proceedings of the CSEE, 20, 24-27.
[7] Song, G.B., Liu, L.L., Suonan, J., Yuan, X.H. and Du, B. (2009) Long Transmission Line Protection Based on Parameter Identification in Time Domain. Automation of Electric Power Systems, 33, 67-70.
[8] Chen, Z.H., Huang, S.F. and Tao, H.L. (2005) Research on the Application of the Bergeron Model to the Differential Equation Algorithm. Automation of Electric Power Systems, 29, 31-34. http://dx.doi.org/10.1016/j.ijepes.2004.07.008
[9] Cho, K.R., Kang, Y.C., Kim, S.S., Park, J.K., Kang, S.H. and Kim, K.H. (1999) An ANN Based Approach to Improve the Speed of a Differential Equation Based Distance Relaying Algorithm. IEEE Transactions on Power Delivery, 14, 349-356. http://dx.doi.org/10.1109/61.754073
[10] Santos, R.C. and Senger, E.C. (2011) Transmission Line Distance Protection Using Artificial Neural Networks. Electrical Power and Energy Systems, 33, 721-730. http://dx.doi.org/10.1016/j.ijepes.2010.12.029
[11] Segui, T., Bertrand, P., Guillot, M., Hanchin, P. and Bastard, P. (2000) Fundamental Basis for Distance Relaying with Parametrical Estimation. IEEE Transactions on Power Delivery, 15, 659-664. http://dx.doi.org/10.1109/61.853001
[12] García-Gracia, M., El Halabi, N., Montaňés, A., Khodr, H.M. and Villén, M. (2010) Improvement of DEA Performance against Harmonic Distortion. Electric Power Systems Research, 80, 582-591. http://dx.doi.org/10.1016/j.epsr.2009.10.012
[13] Qin, S.R. and Zhong, Y.M. (2006) A New Envelope Algorithm of Hilbert-Huang Transform. Mechanical Systems and Signal Processing, 20, 1941-1952. http://dx.doi.org/10.1016/j.ymssp.2005.07.002
[14] Cheng, J.S., Yu, D.J. and Yang, Y. (2007) Application of Support Vector Regression Machines to the Processing of End Effects of Hilbert-Huang Transform. Mechanical Systems and Signal Processing 21, 1197-1211. http://dx.doi.org/10.1016/j.ymssp.2005.09.005
[15] Akke, M. and Thorp, J.T. (1998) Some Improvements in the Three-Phase Differential Equation Algorithm for Fast Transmission Line Protection. IEEE Transactions on Power Delivery, 13, 66-72. http://dx.doi.org/10.1109/61.660852

  
comments powered by Disqus

Copyright © 2018 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.