New algorithm to phase selection based on wavelet transforms

Abstract

Summary form only given as follows. In long line applications that involve tripping the faulted phase in case of LG faults, the single-pole autoreclosure is extensively used. Traditional phase selectors can suffer some deficiencies in their performance due to varying system and fault conditions. However, the advent of wavelet transform techniques with their ability to focus on system transients provide an effective and reliable method for accurate and fast phase selection. This work describes the design and implementation of a new technique using wavelet transform algorithms. The technique is based on utilising sharp transitions generated on the faulted phase. The paper presents the wavelet transform concept and its value in classification techniques and feature detection schemes. The feature extraction principle is derived. Generated data from the simulation of 400 kV power system using EMTP were used to test the performance of the technique.