Detection and Classification of One Conductor Open Faults in Parallel Transmission Line using Artificial Neural Network
نویسندگان
چکیده
This paper presents an artificial neural network based protection scheme for detection and classification of one conductor open faults in parallel transmission line. A 220 kV double circuit transmission line of 100 km length has been simulated using MATLAB® software and its associated Simulink® and Simpowersystem® toolboxes. The fundamental components of current signals measured at relay location are used as input to train the artificial neural network. The effect of variation in fault inception angle and fault distance location has been investigated on the performance of the proposed protection scheme. The simulation results of ANN based protection technique show that proposed algorithm correctly detects/classifies all types of one open conductor faults within one cycle time. It validates the accuracy and suitability of the
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