High impedance fault localization in a distribution network using the discrete wavelet transform

Ali, M.S. and Abu Bakar, A.H. and Mokhlis, Hazlie and Arof, Hamzah and Illias, Hazlee Azil and Aman, M.M. (2012) High impedance fault localization in a distribution network using the discrete wavelet transform. In: 2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012, 2012, Melaka.

PDF (High impedance fault localization in a distribution network using the discrete wavelet transform)
High_impedance_fault_localization_in_a_distribution_network_using_the_discrete_wavelet_transform.pdf - Published Version

Download (2MB)
Official URL: https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnum...


Basic guidelines for the preparation of a technical work for the Locating the faulty section for High Impedance Fault (HIF) in a power system is a major challenge especially for a radial distribution network. This is due to the effect of the complexity of the distribution network such as branches; non-homogenous lines and high impedance fault that results in a variation of fault location. In this paper, analysis of fault location using the discrete wavelet transform based Multi-Resolution Analysis (MRA) and database approach is proposed. The three-phase voltage signal at the main substation to be analyzed was measured. The 1 st, 2 nd and 3 rd level of detail coefficients were extracted for each phase and were used for the identification of faulty section using the proposed method. The simulation on a 38 nodes distribution network system in a national grid in Malaysia using PSCAD software was simulated. The proposed method has successfully determined the faulty section.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Conference code: 91838 Export Date: 17 April 2013 Source: Scopus Art. No.: 6230888 :doi 10.1109/PEOCO.2012.6230888 Language of Original Document: English Correspondence Address: Ali, M.S.; University Malaya - Power Energy Dedicated Advance Center (UMPEDAC)Malaysia; email: mosba86@yahoo.com.my References: Lai, T.M., Snider, L.A., Lo, E., Sutanto, D., High-impedance fault detection using discrete wavelet transform and frequency range and RMS conversion (2005) IEEE Transactions on Power Delivery, 20 (1), pp. 397-407; Etemadi, A.H., Sanaye-Pasand, M., High-impedance fault detection using multi-resolution signal decomposition and adaptive neural fuzzy inference system (2008) IET Generation, Transmission & Distribution, 2 (1), p. 110; Michalik, M., Lukowicz, M., Rebizant, W., Lee, S.-J., Kang, S.-H., Verification of the Wavelet-Based HIF Detecting Algorithm Performance in Solidly Grounded MV Networks (2007) IEEE Transactions on Power Delivery, 22 (4), pp. 2057-2064; Chen, S., Feature Selection for Identification and Classification of Power Quality Disturbances (2005) Power Engineering Society General Meeting, 3, pp. 2301-2306; Avdakovic, S., Nuhanovic, A., Identifications and Monitoring of Power System Dynamics Based on the PMUs and Wavelet Technique (2010) Engineering and Technology, pp. 796-803; Dash, P.K., Panigrahi, B.K., Panda, G., Power Quality Analysis using S-transform (2003) IEEE Transactions on Power Delivery, 18, pp. 406-411; Suja, S., Jerome, J., Pattern Recognition of Power Signal Disturbances using S-Transform and TT-Transform (2010) International Journal of Electrical Power & Energy Systems, 32, pp. 37-53; Li, Z.-Y., Wu, W.-L., Classification of Power Quality Combined Disturbances Based on Phase Space Reconstruction and Support Vector Machines (2008) Journal of Zhejiang University - Science A, 9, pp. 173-181; Sarlak, M., Shahrtash, S.M., High impedance fault detection using combination of multi-layer perceptron neural networks based on multi-resolution morphological gradient features of current waveform (2011) IET Generation, Transmission & Distribution, 5 (5), p. 588; Elkalashy, N.I., Lehtonen, M., Darwish, H.A., Taalab, A.-M.I., Izzularab, M.A., A novel selectivity technique for high impedance arcing fault detection in compensated MV networks (2008) European Transactions on Electrical Power, 18 (4), pp. 344-363; Elkalashy, N.I., Lehtonen, M., Darwish, H.A., Taalab, A.-M.I., Izzularab, M.A., DWT-based extraction of residual currents throughout unearthed MV networks for detecting high-impedance faults due to leaning trees (2007) European Transactions on Electrical Power, 17 (6), pp. 597-614
Uncontrolled Keywords: Discrete wavelet transform; Distribution network; Fault localization; High impedance fault; Distribution network system; Level of detail; Malaysia; Multi-resolutions; National grid; Radial distribution networks; Technical work; Three-phase voltages; Computer software; Electric power distribution; Optimization; Discrete wavelet transforms
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 10 Jul 2013 02:10
Last Modified: 23 Oct 2018 01:34
URI: http://eprints.um.edu.my/id/eprint/7876

Actions (login required)

View Item View Item