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Fault Location Identification in High Voltage Transmission Lines

Authors: Khaled M. El Naggar


This paper introduces a digital method for fault section identification in transmission lines. The method uses digital set of the measured short circuit current to locate faults in electrical power systems. The digitized current is used to construct a set of overdetermined system of equations. The problem is then constructed and solved using the proposed digital optimization technique to find the fault distance. The proposed optimization methodology is an application of simulated annealing optimization technique. The method is tested using practical case study to evaluate the proposed method. The accurate results obtained show that the algorithm can be used as a powerful tool in the area of power system protection.

Keywords: Optimization, estimation, faults, measurement, high voltage, simulated annealing.

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[1] M.S. Sachdaev and M.A. Baribeu, “A New Algorithm for Digital Impedance Relay.”, IEEE Tran. on Power Apparatus & Systems, Vol. PAS-98, No.6, pp.2232-2238, Nov-Dec.1979.
[2] Hanafy M. Ismail and Khaled M. EL-Naggar , “ A Dynamic On-Line Fault Location Algorithm Based on A Discrete Filter for HV Transmission Lines”, Third Regional Conference of CIGRE Committees in Arab Countries, Doha, Qatar, Vol. 2, pp. 75-80, May 1999.
[3] K.M.E-Naggar, “A Genetic Based Fault Location Algorithm For Transmission Lines”,16th International Conference on Electricity Distribution (CIRED 2001/IEE), Amsterdam, Netherlands,Vol.3, June 2001.
[4] Lino Bo Sheng and S. ELangovan, “A Fault Location Algorithm for Transmission Lines”, Electric Machines & Power Systems Journal, Vol. 26, pp.991-1005.
[5] C. S. Chen , C. W. Liu and J. A. Jiang "Application of combined adaptive Fourier filtering technique and fault detector to fast distance protection", IEEE Trans. Power Del., vol. 21, no. 2, pp.619 -626, 2006.
[6] Abdollahi, A., Peng Zhang, "Precise removal of decaying dc in DFT algorithm for power system measurement," Power and Energy Society General Meeting, 2012 IEEE , vol., no., pp.1,7, 22-26 July 2012.
[7] C.Fukui and J. Kawakami, “An Expert System for Fault section estimation Using Information from Protective Relays and Circuit Breakers”, IEEE. Trans. Power Delivery, PWRD-1 (4), pp.83-90, 1988.
[8] M. EL-Sharkawy and D. Niebur, 1996, “Artificial Neural Networks with Applications to Power Systems”, IEEE Power Engineering Socity, A Tutorial Course.
[9] Fushuuan Wen, Zhenxiang Han, “Fault Section Estimation in Power Systems Using Genetic Algorithm”, Electric Power System Research Journal, Vol.34, pp.165-172, 1995.
[10] Fu Xiang and Zheng Zheng-Jian, "Research on complex electronic equipment fault location based on improved Genetic Algorithm," 2010 2nd International Conference on Computer Engineering and Technology, Chengdu, 2010, pp. V1-454-V1-457.
[11] K. Chen, C. Huang and J. He, "Fault detection, classification and location for transmission lines and distribution systems: a review on the methods," in High Voltage, vol. 1, no. 1, pp. 25-33, 4 2016.
[12] M. Singh, B. K. Panigrahi and R. P. Maheshwari, "Transmission line fault detection and classification," 2011 International Conference on Emerging Trends in Electrical and Computer Technology, Tamil Nadu, 2011, pp. 15-22.
[13] M. Davoudi, J. Sadeh and E. Kamyab, "Parameter-free fault location for transmission lines based on optimisation," in IET Generation, Transmission & Distribution, vol. 9, no. 11, pp. 1061-1068, 8 6 2015.
[14] D. Ritzmann, P. S. Wright, W. Holderbaum and B. Potter, "A Method for Accurate Transmission Line Impedance Parameter Estimation," in IEEE Transactions on Instrumentation and Measurement, vol. 65, no. 10, pp. 2204-2213, Oct. 2016.
[15] Hosam K. Youssef, Khaled M. EL-Naggar, “Genetic- Based Algorithm for Identification of Synchronous Machine Parameters Using Short Circuit Tests”, International Journal of Energy Research, Vol.24, 2000, pp.877-885.
[16] S. Kirkpatrick, C. D. Gelatt Jr, and M. P. Vecchi, "Optimization by simulated annealing," Science, vol. 220(4598), pp. 671-680, 1983.
[17] V. Cerny, "Thermodynamical approach to the traveling salesman problem: an efficient simulation algorithm," Journal of Optimization Theory and Application, vol. 45(1), pp. 41-51, 1985.
[18] N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, and A. H. Teller, "Equation of state calculation by fast computing machines," Journal of Chemical Physics, vol. 21, pp. 1087-1092, 1953.