Discrete wavelet transform based fault detection and classification in a static synchronous series compensated transmission system

Abstract

Protection of a transmission line which includes Flexible AC Transmission system (FACTS) devices using distance protection is a challenging task. In this paper, a power system with Static Synchronous Series Compensator (SSSC) is placed at the center of the transmission line is taken into analysis. In this paper a statistical algorithm is proposed which detects and classifies the type of fault and locates it in the SSSC compensated transmission line. The proposed algorithm is based on wavelet transform of the three phase current measured on the sending end of the line and Classification And Regression Tree (CART), a commonly available statistical method is used to classify the fault. Wavelet transform of current signal provides the hidden information of the fault location which is the input to the CART. The algorithm developed is simple and effective in detecting, classifying, and estimating the location of fault. The effective and efficient way of handling faults are exhibited using various fault cases and their corresponding simulation also shows it.