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 JPEE  Vol.2 No.9 , September 2014
Propagation Characteristics of Partial Discharge Pulses in the Cable
Abstract: In order to determine the type and location of partial discharge in cable, the effect of partial discharge (PD) pulse propagation in the cable is studied. Firstly, pulses are injected to cables of different lengths so that input and output signal can be measured at both ends of each cable. Then the transfer function of pulse propagation path can be defined. Secondly, high-voltage test is done in the cable joint with man-made defects, and typical PD waveforms are gotten. Seven parameters of waveform characteristics are calculated, including edge times, waveform shape and statistical characteristics. They are used to distinguish different types of PD or distances of the pulse propagation. Thus the efficiency of PD recognition in cable can be improved.
Cite this paper: Lin, J. , Gui, J. , Gao, S. , Wang, Y. , Huang, J. , Yuan, J. and He, W. (2014) Propagation Characteristics of Partial Discharge Pulses in the Cable. Journal of Power and Energy Engineering, 2, 112-116. doi: 10.4236/jpee.2014.29016.
References

[1]   IEC 60270 (2001) Partial Discharge Measurement. 3rd Edition.

[2]   Cselkó, R. and Berta, I. (2013) Challenges of Partial Discharge Diagnostics of Low-Voltage Cables. Journal of Electrostatics, 71, 558-563. http://dx.doi.org/10.1016/j.elstat.2012.12.042

[3]   Kranr, H.-G. and Krump, R. (1992) Partial Discharge Diagnosis Using Statistical Parameter Optimization on a PC-System. IEEE Transactions on Electrical Insulation, 27, 93-98.

[4]   Gulski, E. (1993) Computer-Aided Measurement of Partial Discharges in HV Equipment. IEEE Transactions on Electrical Insulation, 28, 969-983.

[5]   Gulski E. and Krivda Neural A. (1993) Networks as a Tool for Recognition of Partial Discharges. IEEE Transactions on Electrical Insulation, 28, 984-1001.

[6]   Su, M.-S., Chen, J.-F. and Lin, Y.-H. (2013) Phase Determination of Partial Discharge Source in Three-Phase Transmission Lines Using Discrete Wavelet Transform and Probabilistic Neural Networks. Electrical Power and Energy Systems, 51, 27-34.

[7]   Okamoto, T. and Tanaka, T. (1995) Partial Discharge Pattern Recognition for Three Kinds of Model Electrodes with a Neural Network. IEE Proceedings—Science Measurement and Technology, 142.

[8]   Blackburn, T.R., Phung, B.T., Vakilan, M., Naderi, M.S. and Zhang, H. (2005) Investigation of High Frequency Signal Propagation Characteristic on HV XLPE Cables. 7th International Power Electronics Conference, 2, 776-781.

[9]   Oussalah, N., Zebboudj, Y. and Boggs, S.A. (2007) Analytic Solutions for Pulse Propagation in Shielded Power Cable for Symmetric and Asymmetric PD Pulses. IEEE Transactions on Dielectrics and Electrical Insulation, 14, 1264-1270. http://dx.doi.org/10.1109/TDEI.2007.4339487

[10]   Pommerenke, D., Strehl, T. and Heinrich, R. (1999) Discrimination between Internal PD and Other Pulses Using Directional Coupling Sensors on HV Cable Systems. IEEE Transactions on Dielectrics and Electrical Insulation, 6, 814- 824. http://dx.doi.org/10.1109/94.822021

[11]   Cavallini, A., Tozzi, M. and Montanari, G.C. (2007) Improving PD Location in Cable Routes through Advanced Analysis Techniques. Nordic Insulation Symposium, Denmark, 141- 144.

[12]   Chandrasekar, S., Cavallini, A., Montanari, G.C. and Puletti, F. (2007) Bandwidth and Sensitivity Issues in PD Detection in Power Cables. IEEE Transactions on Dielectrics and Electrical Insulation, 14, 735-743. http://dx.doi.org/10.1109/TDEI.2007.369538

[13]   Ametani, A., Miyamoto, Y. and Nagaoka, N. (2004) Semiconducting Layer Impedance and Its Effect on Cable Wave Propagation and Transient Characteristics. IEEE Transaction on Power Delivery, 19, 1523-1531. http://dx.doi.org/10.1109/TPWRD.2003.822502

[14]   Gao, K., Tan, K., Li, F. and Wu, C. (2002) PD Pattern Recogni-tion for Stator Bar Models with Six Kinds of Characteristic Vectors Using BP Network. IEEE Transactions on Dielectrics and Electrical Insulation, 9, 381-389. http://dx.doi.org/10.1109/TDEI.2002.1007700

[15]   Geng, G., Sun, W. and Luo, P. (2008) The Neural Network Pattern Recognition. Software Guide, 7, 81-83.

 
 
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