Asymmetrical Fault Recognition System on Electric Power Lines Using Artificial Neural Network

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2019 by IJETT Journal
Volume-67 Issue-11
Year of Publication : 2019
Authors : Mbamaluikem, Peter O, Bitrus, Irmiya, Okeke, Henry S.
  10.14445/22315381/IJETT-V67I11P211

MLA 

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.

Abstract
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.

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Keywords
Fault recognition, asymmetrical fault, artificial neural networks, power lines, power system