New algorithm to phase selection based on wavelet transforms

In long line applications that involve tripping the faulted phase in case of LG faults, 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 provides 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 using sharp transitions generated on the faulted phase. This 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 the 400-kV power system using EMTP were used to test the performance of the technique.