Advanced Digital Signal Processing, Interpolation and Extrapolation Based Symmetrical Fault Assessment in Transmission Line

Authors

  • A. Bhowmick Department of Electrical Engineering, Guru Nanak Institute of Technology, Kolkata, 700114, India
  • K. G. Rani Department of Electrical Engineering, Guru Nanak Institute of Technology, Kolkata, 700114, India
  • A. Ghosh Department of Electrical Engineering, Guru Nanak Institute of Technology, Kolkata, 700114, India
  • A. Chattopadhyaya Department of Electrical Engineering, Guru Nanak Institute of Technology, Kolkata, 700114, India
  • S. Ghosh Department of Electrical Engineering, Guru Nanak Institute of Technology, Kolkata, 700114, India
  • S. Roy Department of Electrical Engineering, Guru Nanak Institute of Technology, Kolkata, 700114, India
  • A. Debnath Department of Electrical Engineering, Guru Nanak Institute of Technology, Kolkata, 700114, India

DOI:

https://doi.org/10.3329/jsr.v17i1.72628

Abstract

This article describes a novel method for locating and detecting triple line to ground (LLL-G) faults in 110 km of 132 kV transmission lines. To find the transmission line fault, the three phase system currents were first recorded at the appropriate sampling frequency. Then, the total harmonic distortion (THD) and direct current (DC) components were computed using the Fast Fourier transform (FFT). When compared to normal conditions, high values of THD and DC components have been seen in fault situations; fault has been identified as a result. The fault distance in the transmission line has been measured using spline extrapolation or linear interpolation. With this method, very encouraging outcomes have been obtained for fault assessment in transmission line.

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Published

2025-01-01

How to Cite

Bhowmick, A., Rani, K. G., Ghosh, A., Chattopadhyaya, A., Ghosh, S., Roy, S., & Debnath, A. (2025). Advanced Digital Signal Processing, Interpolation and Extrapolation Based Symmetrical Fault Assessment in Transmission Line. Journal of Scientific Research, 17(1), 43–55. https://doi.org/10.3329/jsr.v17i1.72628

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Section

Section A: Physical and Mathematical Sciences