TRANSMISSION LINE FAULT DETECTION, CLASSIFICATION AND LOCATION

Abstract

The ability to detect, classify and locate the type of fault plays a great role in the protection of power system.
This procedure is required to be precise with no time consumption. The disturbances of power systems are aperiodic,
non-stationary, very short duration and impulsive in nature. The wavelet transform based approaches have been
successfully detected, classify and locate the faults due to their ability to express the signal both in frequency and time
domain. This paper describes the implementation of Wavelet Transform analysis on samples of simulated current
waveforms obtained from MATLAB for each of the all possible fault scenarios in a modeled 400 kV transmission
network.