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

Authors: Reddy, M. Jayabharata; Mohanta, Dusmanta Kumar

Source: Electric Power Components and Systems, Volume 35, Number 12, December 2007 , pp. 1385-1407(23)

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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 transform; multi-resolution analysis (MRA); fuzzy inference system (FIS); adaptive-neuro-fuzzy inference system (ANFIS); fault classification; fault location

Document Type: Research article

DOI: http://dx.doi.org/10.1080/15325000701426161

Affiliations: 1: Department of Electrical and Electronics Engineering, Birla Institute of Technology, Deemed University, Mesra, Ranchi, India

Publication date: 2007-12-01

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