A Wavelet-neuro-fuzzy Combined Approach for Digital Relaying of Transmission Line Faults

Abstract Abstract The proposed algorithm for fault location, different from conventional algorithms that are based on deterministic computations on a well-defined model to be protected, employs wavelet transform together with fuzzy inference system (FIS) and the adaptive neuro-fuzzy inference system (ANFIS) to incorporate expert evaluation so as to extract important features from wavelet multi-resolution analysis (MRA) coefficients for obtaining coherent conclusions regarding fault location. Simulation results indicate that both the classification and localization algorithms are immune to the effects of fault inception angle, impedance and distance. The most significant contribution of this article is that the proposed ANFIS approach has superiority over FIS for location of transmission line faults and thus can be used as an effective tool for real-time digital relaying purposes. Keywords: wavelet transformmulti-resolution analysis (MRA)fuzzy inference system (FIS)adaptive-neuro-fuzzy inference system (ANFIS)fault classificationfault location