International Journal of Energy and Power Engineering
Volume 3, Issue 2, April 2014, Pages: 93-102
Received: Apr. 20, 2014;
Accepted: May 4, 2014;
Published: May 20, 2014
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R. Abd Allah, Buraydah Colleges, Faculty of Engineering, Electrical Power Department, Qassim Region, Kingdom of Saudi Arabia
In modern digital power system protection systems, statistical coefficients technique is recently used for fault analysis. A correlation technique is developed for faults detection and discrimination. The proposed technique is able to accurately identify the condition of phase(s) involved in all ten types of shunt faults that may occur in extra high-voltage transmission lines under different fault resistances, inception angle and loading levels. The proposed technique does not need any extra equipment as it depends only on the three line-currents measurements which are mostly available at the relay location. This technique is able to perform the fault detection, type and phase selection in about a half-cycle period. Thus, the proposed technique is well suited for implementation in digital protection schemes. The suggested scheme is applied for a part of 500 Kv Egyptian network. Alternative transient program (ATP) and MATLAB programs are used to implement the proposed technique.
R. Abd Allah,
Protection Scheme for Transmission Lines Based on Correlation Coefficients, International Journal of Energy and Power Engineering.
Vol. 3, No. 2,
2014, pp. 93-102.
M. M. Saha et al., “A new accurate fault location algorithm for series compensated lines,” IEEE Trans. Power Delivery, vol. 14, pp. 789–797, July 1999.
A. G. Phadke, Computer Relaying for Power Systems. New York: Wiley, 1988.
R. K. Aggrawal, Q. Y. Xuan, R. W. Dunn, and A. Bennett, “A novel fault classification technique for double-circuit line based on a combined un-supervised/supervised neural network,” IEEE Trans. Power Delivery, vol. 14, pp. 1250–125, Oct. 1999.
W.-M. Lin, C.-D. Yang, and J. H. Lin, “A fault classification method by RBF neural network with OLS learning procedure,” IEEE Trans. Power Delivery, vol. 16, pp. 473–477, Oct. 2001.
T. Dalstein and B. Kulicke, “Neural network approach to fault classification for high speed protective relaying,” IEEE Trans. Power Delivery, vol. 10, pp. 1002–1011, Apr. 1995.
D. K. Ranaweera, “Comparison of neural network models for fault diagnosis of power system,” Elect. Power Syst. Res., pp. 99–104, 1994.
K. H. Kim and J. K. Park, “Ap-plication of hierarchical neural networks to fault diagnosis of power system,” Int. J. Elect. Power Energy Syst., vol. 15, no. 2, pp. 65–70, 1993.
A. L. O. Fernandez and N. K. I. Ghonaim, “A novel approach using a FIRANN for fault detection and direction estimation for high voltage transmission lines,” IEEE Trans. Power Delivery, vol. 17, pp. 894–901, Oct. 2002.
A. Poeltl and K. Frohich, “Two new methods for fast fault type detection by means of parameters fitting and artificial neural networks,” IEEE Trans. Power Delivery, vol. 14, pp. 1269–1275, Oct. 1999.
A. A. Girgis and M. B. Johns, “Ahybrid expert system for faulted section identifica-tion, fault type classification and selection of fault location algorithms,” IEEE Trans. Power Delivery, vol. 4, pp. 978–985, Apr. 1989.
C. A. Protopapas, K. P. Psatiras, and A. V. Machias, “An expert system for substation fault diagnosis and alarm processing,” IEEE Trans. Power Delivery, vol. 6, pp. 648–655, Apr. 1991.
H. T. Yang, W. Y. Chang, and C. L. Huang, “On line fault diagnosis of power substation using connectionist expert system,” IEEE Trans. Power Syst., vol. 10, pp. 323–331, Feb. 1995.
A. Ferrero, S. Sangiovanni, and E. Zapitelli, “A fuzzy set approach to fault type identification in digital relaying,” IEEE Trans. Power Delivery, vol. 10, pp. 169–175, Jan. 1995.
H.Wang andW.W. L. Keerthipala, “Fuzzy neuro approach to fault classification for transmission line protection,” IEEE Trans. Power Delivery, vol. 13, pp. 1093–1104, Oct. 1998.
T. Adu, “An accurate fault classification technique for power system monitoring devices,” IEEE Trans. Power Delivery, vol. 17, pp. 684–690, July 2002.
M.E. Masoud, M.M.A. Mahfouz, “Protection scheme for transmission lines based on alienation coefficients for current signals”, IET Gener. Transm. Distrib., Vol. 4, Iss. 11, pp. 1236 – 1244. March 2010.
W. Hauschild, and W. Mosch, “Statistical Techniques for High Voltage Engineering”, hand book, English edition published by peter pere grinus Ltd., London, United Kingdom, chapter 2, pp. 78-79, 1992.
Instruction Manual for Generator Electrical Equipment, Upper Egypt Electricity Production Company, Elkureimat П 750 MW Combined Cycle Project, Steam Turbine Generator & Auxiliaries (Generator Electrical Equipment), Hitachi, Ltd., Tokyo Jaban.
ATP - version 3.5 for Windows 9x/NT/2000/XP - Users' Manual–Preliminary Release No. 1.1 - October 2002.