Applications of ANFIS in high impedance faults detection and classification in distribution networks

Abstract

This paper presents a new approach for detection and classification of high impedance faults in distribution system using Adaptive Neuro Fuzzy Inference System (ANFIS). The proposed scheme was trained by data from simulation of a distribution system under different faults conditions and tested for different system conditions. Details of the design procedure and the results of performance using the proposed method are discussed in this paper. The results show that the proposed algorithm has very good performance in detecting and classifying high impedance faults. The 3 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rd</sup> harmonics, magnitude and angle, for the 3 phase currents give superior results for detection of High Impedance faults and the fundamental component, magnitude and angle, for the 3 phase currents give superior results for classification of High Impedance faults over other types of data inputs.