Comparative Analysis of ANN-Based FL and Travelling Wave-Based FL for Location of Fault on Transmission Lines

  • Ashish MaheshwariEmail author
  • Vinesh Agarwal
  • Sanjeev Kumar Sharma
Review Paper


This paper attempts to develop a backpropagation neural network algorithm for fault detection and location in overhead transmission lines and high-speed protection system using terminal data. The suggested neural FL is trained using various available sets of data from a selected power system model and simulating distinct fault scenarios (fault location and fault types) and various power system data (source voltages, source capacities and time constant of source). Two ANN-based fault locators (FLs) termed as FL1 and FL2 are recommended for a correlative study of FL. The study is carried out with reference to travelling wave-based FL in order to determine which FL delivers greater performance. The result shows that the proposed ANN-based FL provides better results in locating the fault as compared to travelling wave-based FL. The result also indicates that the recommended ANN-based FL is capable of identifying and determining the different single line to ground fault with greater accuracy.


Transmission line faults ANN-based FL Travelling wave-based FL Fault location 



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Copyright information

© The Institution of Engineers (India) 2019

Authors and Affiliations

  • Ashish Maheshwari
    • 1
    Email author
  • Vinesh Agarwal
    • 1
  • Sanjeev Kumar Sharma
    • 2
  1. 1.Department of Electrical EngineeringSangam UniversityBhilwaraIndia
  2. 2.Department of Electrical EngineeringJSS Academy of Technical EducationNoidaIndia

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