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All Journal International Journal of Applied Power Engineering (IJAPE)
S. M. Torabi
Semnan Electrical Power Distribution Company
Electrical & Electronics Engineering

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Determination of Fault Location and Type in Distribution Systems using Clark Transformation and Neural Network Mohammad Sarvi; S. M. Torabi
International Journal of Applied Power Engineering (IJAPE) Vol 1, No 2: August 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (238.947 KB) | DOI: 10.11591/ijape.v1.i2.pp75-86

Abstract

In this paper, an accurate method for determination of fault location and fault type in power distribution systems by neural network is proposed. This method uses neural network to classify and locate normal and composite types of faults as phase to earth, two phases to earth, phase to phase. Also this method can distinguish three phase short circuit from normal network position. In the presented method, neural network is trained by αβ space vector parameters. These parameters are obtained using clarke transformation. Simulation results are presented in the MATLAB software. Two neural networks (MLP and RBF) are investigated and their results are compared with each other. The accuracy and benefit of the proposed method for determination of fault type and location in distribution power systems has been shown in simulation results.
Co-Authors Mohammad Sarvi