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.
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Abstract
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) |
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Funders: | UNSPECIFIED |
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 |
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