Abstract
The detection and location of high impedance faults on power system has been one of the most difficult problems in power transmission and distribution systems. According to a very highly nonlinear behavior of high impedance faults, a methodology is presented to locate high impedance faults in power system. The proposed technique is based on the fact that high impedance faults in power line can make the whole system behave nonlinearly. Consequently, the location of high impedance fault can be determined by detecting the position of nonlinear component in power line systems. The effectiveness of the method has been verified through simulation studies.
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References
Etemadi, A.H., Sanaye-Pasand, M.: High-impedance Fault Detection using Multi-resolution Signal Decomposition and Adaptive Neural Fuzzy Inference System. IET Generation, Transmission & Distribution 2, 110–118 (2008)
Aucoin, B.M., Jones, R.H.: High Impedance Fault Detection Implementation Issues. IEEE Transactions on Power Delivery 11, 139–148 (1996)
Elkalashy, N.I., Lehtonen, M., Darwish, H.A., Izzularab, M.A., Taalab, A.-M.I.: Modeling and Experimental Verification of High Impedance Arcing Fault in Medium Voltage Networks. IEEE Transactions on Dielectrics and Electrical Insulation 14, 375–383 (2007)
Calhoun, H., Bishop, M.T., Eiceler, C.H., Lee, R.E.: Development and Testing of An Electro-mechanical Relay to Detect Fallen Distribution Conductors. IEEE Trans. Power App. Syst. 100, 2008–2016 (1998)
Sharaf, A.M., Abu-Azab, S.I.: A Smart Relaying Scheme for High Impedance Faults in Distribution and Utilization Networks. In: Canadian Conf. Electrical Computer Engineering, pp. 740–744. IEEE Press, Los Alamitos (2000)
Sultan, A.F., Swift, G.W., Fedirchuk, D.J.: Detecting Arcing Downed-wires Using Fault Current Flicker and Half Asymmetry. IEEE Trans. Power Del. 9, 461–470 (1994)
Girgis, A.A., Chang, W., Makram, E.B.: Analysis of High-impedance Fault Generated Signals Using a Kalman Filtering Approach. IEEE Trans. Power Del. 5, 1714–1724 (1990)
Mamishev, A.V., Russel, B.D., Benner, C.L.: Analysis of High Impedance Faults Using Fractal Techniques. IEEE Trans. Power Syst. 11, 435–440 (1996)
Ebron, S., Lubkeman, D.L., White, M.: A Neural Network Approach to the Detection of Incipient Faults on Power Distribution Feeders. IEEE Trans. Power Del. 5, 905–914 (1990)
Snider, L.A., Yuen, Y.S.: The Artificial Neural Networks Based Relay for the Detection of Stochastic High Impedance Faults. Neurocomput. 23, 243–254 (1998)
Shyh-Jier, H., Cheng-Tao, H.: High-impedance Fault Detection Utilizing a Morlet Wavelet Transform Approach. IEEE Trans. Power Del. 14, 1401–1410 (1999)
Lang, Z.Q., Billings, S.A.: Output Frequency Characteristics of Non-linear System. Int. J. Control. 64, 1049–1067 (1996)
Ibrahim, D.K., Eldin, E.S.T., El-Din Abou EI-Zahab, E.M., Saleh, S.M.: Unsynchronized Fault-Location Scheme for Nonlinear HIF in Transmission Lines. IEEE Transactions on Power Delivery 25, 631–637 (2010)
Lai, T.M., Snider, L.A., Lo, E., Sutanto, D.: High-impedance Fault Detection using Discrete Wavelet Transform and Frequency Range and RMS Conversion. IEEE Transactions on Power Delivery 20, 397–407 (2005)
Lonngren, K.E., Bai, E.W.: Simulink Simulation of Transmission Lines. IEEE Transaction on Circuits and Devices Magazine 12, 10–16 (1996)
Lang, Z.Q., Peng, Z.K.: A Novel Approach for Nonlinearity Detection in Vibrating Systems. Journal of Sound and Vibration 314, 603–615 (2008)
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Chen, My., Zhai, Jq., Lang, Zq., Liao, Jc., Fan, Zy. (2010). High Impedance Fault Location in Transmission Line Using Nonlinear Frequency Analysis. In: Li, K., Fei, M., Jia, L., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science, vol 6328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15621-2_13
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DOI: https://doi.org/10.1007/978-3-642-15621-2_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15620-5
Online ISBN: 978-3-642-15621-2
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