Asymmetrical Fault Recognition System on Electric Power Lines Using Artificial Neural Network
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2019 by IJETT Journal|
|Year of Publication : 2019|
|Authors : Mbamaluikem, Peter O, Bitrus, Irmiya, Okeke, Henry S.
|DOI : 10.14445/22315381/IJETT-V67I11P211|
MLA Style: Mbamaluikem Peter O, Bitrus, Irmiya, Okeke, Henry S. "Asymmetrical Fault Recognition System on Electric Power Lines Using Artificial Neural Network" International Journal of Engineering Trends and Technology 67.11 (2019):61-66.
APA Style:Mbamaluikem Peter O, Bitrus, Irmiya, Okeke, Henry S. Asymmetrical Fault Recognition System on Electric Power Lines Using Artificial Neural Network International Journal of Engineering Trends and Technology, 67(11),61-66.
The occurrence of faults on electric power lines reduce the efficiency and reliability of the whole power system network. Against this backdrop, this paper applied artificial neural networks in recognizing asymmetrical faults in electric power lines to improveelectric power line protection.The proposed artificial neural network based shunt fault recognition systems were trained using set of current and voltage data generated from simulating different asymmetrical faults states of the studied power system, modeled in MATLAB/Simulink environment. A comparative analysis of the three asymmetrical fault recognition modelswere done to establishwhich artificial neural network-based model/configurationleads tooptimal performance. The results show that the artificial neural network-based model that uses both current and voltagedata as input gave the best performance and hence,it may be employed in building asymmetrical faults detecting devices for electric power lines.
 W. P. Davis, “Analysis Of Faults In Overhead Transmission Lines,” Master Theses, California State University, Sacramento, 2012.
 S. B. Ayyagari, “Artificial Neural Network Based Fault Location For Transmission Lines,” Master`s Theses, University of Kentucky, Kentucky, 2011.
 S. K. Kumar, M. Swamy, and V. Venkatesh, “Artificial Neural Network Based Method for Location and Classification of Faults on a Transmission Lines,” International Journal of Scientific and Research Publications, vol. 4, no. 1, pp. 2250– 3153, 2014.
 S. Singh, K. Mamatha, and S. Thajaswini, “Intelligent Fault Identification System for Transmission Lines Using Artificial Neural Network,” IOSR Journal of Computer Engineering, vol. 16, no. 1, pp. 23–31, 2014.
 M. Gowrishankar, P. Nagaveni, and P. Balakrishnan, “Transmission Line Fault Detection and Classification Using Discrete Wavelet Transform and Artificial Neural Network,” Middle-East Journal of Science Research, vol. 24, no. 4, pp. 1112–1121, 2016.
 D. F. Leite, M. B. Hell, P. Costa, and F. Gomide, “Real-time fault diagnosis of nonlinear systems,” Nonlinear Anal. Theory, Methods Appl., vol. 71, no. 12, 2009.
 M. Tarafdar Haque and A. Kashtiban, “Application of Neural Networks in Power Systems; A Review.”International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, vol. 1, no. 6, 2007.
 E. Phyo Thwe, “Fault Detection and Classification for Transmission Line Protection System Using Artificial Neural Network,” Journal of Electrical and Electronic Engineering, vol. 4, no. 5, pp.89, 2016.
 K. M. Silva, B. A. Souza, and N. S. Brito, “Fault Detection and Classification in Transmission Lines Based on Wavelet Transform and ANN,” IEEE Trans. Power Delivery, vol. 21, no. 4, pp. 2058–2063, 2006.
 T. Bouthiba, “Fault Location in EHV Transmission Lines Using Artificial Neural Networks,” International Journal of Applied Mathematics and Computer Science, vol. 14, no. 1, pp. 69–78, 2004.
 S. Seema, K. R. Mamatha, and S. Thejaswini,"Intelligent Fault Identification System for Transmission Lines Using Artificial Neural Network,". IOSR Journal of Computer Engineering (IOSR-JCE), vol. 16, no. 1, pp. 23-31,2014.
 E. Bashier and M. Tayeb, “Faults Detection in Power Systems Using Artificial Neural Network,” American Journal of Engineering Research, vol. 2, pp. 2320–847, 2015.
 H. P. Amorim and L. Huais, “Faults location in transmission lines through neural networks,” in 2004 IEEE/PES Transmision and Distribution Conference and Exposition: Latin America (IEEE Cat. No. 04EX956), 2004, pp. 691–695.
 R. Aggarwal and Y. Song, “Artificial neural networks in power systems. Part 3: Examples of applications in power systems,” Power Engineering Journal, vol. 12, no. 6, pp. 279– 287, 2005.
 C. M. Bishop, “Neural networks for pattern recognition,” Journal of the American Statistical Association, vol. 92, p. 482, 1995.
 G. Cardoso, J. G. Rolim, and H. H. Zurn, “Application of Neural-Network Modules to Electric Power System Fault Section Estimation,” IEEE Trans. Power Delivery, vol. 19, no. 3, pp. 1034–1041, 2004.
 A. A. Awelewa, P. O. Mbamaluikem and I. A. Samuel, "Artificial neural Networks for intelligent fault location on the 33-kV Nigeria Transmission Line," vol. 53, no. 3, pp. 147 - 155, 2017.
Fault recognition, asymmetrical fault, artificial neural networks, power lines, power system