Analysis of Wavelet Transform and ANFIS-Based Fault Detection and Classification

Abnormal conditions occur in the power system. The intelligent techniques can be applied to know about the fault nature. The identification of fault in the power system is very important for the safeguard of the equipments from the abnormal conditions which arises due to fault. When the faults are identified, then the classification of the fault and after clearing the fault for studying the stability in the system is paramount. For the identification and classification, the use of intelligent techniques in which identification through wavelet transform and classification through ANFIS (Adaptive Neuro Fuzzy Inference System) is proposed in this paper. Wavelet transform identifies the fault in terms of energy and classification of fault by the ANFIS as well as fuzzy inference system which display the type of fault. The fault identifications are based on the fault current which is more dominant for line faults.