A numerical approach to identify the fault location on 22 KV Daklak distribution grid
Corressponding author's email:
quangndhtd@epu.edu.vnKeywords:
Short-circuit current, fault location, simulation, measurement, distribution gridAbstract
The rapid detection of accident zone, as short-circuit, is very important in improving the stability and power quality of the system, particularly in grids with difficult geographical conditions. This article introduces a method which could quickly delineate short-circuit fault location by establishing the corresponding matrix between nodes on grid and short circuit current value. A 22kV Daklak distribution grid – E471 line is studied. A big data of input as load, source, season coefficient, utilization coefficient and all four types of short circuit have been considered and calculated in detail. The modeling results will be compared to the value of measurement to valid the studied method.
Downloads: 0
References
Salim RH, Salim KCO, Bretas AS. “Further improvements on impedance-based fault location for power distribution systems.”, IET Gener Trans Distrib 2011,5(4) , pp.467–78
M. M. Saha, F. Provoost, and E. Rosolowski, “Fault Location method for MV Cable Network”, DPSP, Amsterdam, The Netherlands, pp. 323-326, April 2001.
S. Saha, M. Aldeen, and C. P. Tan, “Unsymmetrical fault diagnosis in transmission/distribution networks,” Int. J. Electr. Power Energy Syst., vol. 45, no. 1, pp. 252–263, Feb. 2013.
R.H. Salim, M. Resener, A.D. Filomena, K. Rezende Caino de Oliveira, and A.S. Bretas, "Extended Fault-Location Formulation for Power Distribution Systems", IEEE Transactions on Power Delivery, vol.24, no.2, pp.508-516, April 2009.
G. D. Ferreira, D. S. Gazzana, A. S. Bretas, and A. S. Netto, “A unified impedance-based fault location method for generalized distribution systems,” 2012 IEEE Power Energy Soc. Gen. Meet., pp. 1–8, Jul. 2012.
K. Ramar, S. Member, and E. E. Ngu, “A New Impedance-Based Fault Location Method for Radial Distribution Systems,” pp. 1–9, 2010.
J. Sadeh, E. Bakhshizadeh, and R. Kazemzadeh, “A new fault location algorithm for radial distribution systems using modal analysis,” Int. J. Electr. Power Energy Syst., vol. 45, no. 1, pp. 271–278, Feb. 2013.
J. Ren, S. S. Venkata, and E. Sortomme, “An Accurate Synchrophasor Based Fault Location Method for Emerging Distribution Systems”, IEEE Transactions on Power Delivery, vol. 29, no. 1, february 2014, pp. 297-298.
L. Ye, D. You, X. Yin, K. Wang, and J. Wu, “An improved fault-location method for distribution system using wavelets and support vector regression,” Int. J. Electr. Power Energy Syst., vol. 55, pp. 467– 472, Feb. 2014.
M. Goudarzi, B. Vahidi, R. A. Naghizadeh and S. H. Hosseinian, “Improved fault location algorithm for radial distribution systems with discrete and continuous wavelet analysis”, Electrical Power and Energy Systems, vol. 67, 2015, pp. 423-430
A. Borghetti, S. Member, M. Bosetti, C. A. Nucci, M. Paolone, and A. Abur, “Integrated Use of TimeFrequency Wavelet Decompositions for Fault Location in Distribution Networks: Theory and Experimental Validation,” vol. 25, no. 4, pp. 3139– 3146, 2010.
Z. Z. Fu Xiang, “Research on Complex Electronic Equipment Fault Location Based on Improved Genetic Algorithm Fu,” pp. 454–457, 2010.
H. Zayandehroodi, A. Mohamed, M. Farhoodnea, and M. Mohammadjafari, “An optimal radial basis function neural network for fault location in a distribution network with high penetration of DG units,” Measurement, vol. 46, no. 9, pp. 3319–3327, Nov. 2013.
D. Svozil, V. Kvasnicka and J. Pospichal, “Introduction to multi-layer feed-forward neural networks”, Science Direct, vol. 39, pp. 43-62, 1997.
F. Marini, A. Magri and R. Bucci, “Multilayer feed-forward artificial neural networks for class modeling”, Science Direct, vol. 88, pp. 118-124, 2007
Downloads
Published
How to Cite
Issue
Section
Categories
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright © JTE.
