Using Positive and Negative Sequence Components of Currents and Voltages for High Impedance Fault Analysis via ANFIS

Mohamed M. Ismail and M. A. Moustafa Hassan
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Mohamed M. Ismail: Faculty of Engineering, Helwan University, Cairo, Egypt
M. A. Moustafa Hassan: Department of Electrical Engineering, Cairo University, Cairo, Egypt

International Journal of System Dynamics Applications (IJSDA), 2012, vol. 1, issue 4, 132-157

Abstract: High Impedance Faults are defined as unwanted electrical contact between an energized conductor and a non-conducting foreign object. Non-conducting foreign object present high impedances to current flow due to their material, so a fault of this type will not appear to the classical protection equipment as abnormal conditions. Presented is an approach for detection, classification, and location of high impedance faults in a distribution system using Adaptive Neuro Fuzzy Inference System (ANFIS) based on positive and negative sequence components of voltages and currents. The proposed scheme was trained by data from simulation of a distribution system under different faults conditions and different distances in a short and long transmission lines. Details of the design procedure and the results of performance using the proposed method are discussed in this paper.

Date: 2012
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