Artificial Neural Network based Protection Scheme for One Conductor Open Faults in Six Phase Transmission Line

Abstract

The demand for electricity is ever increasing. To meet this ever increasing demand, six phase line can be a possible alternative to increase the transmission line capacity of existing line with the same right of way. This paper presents a Artificial Neural Network based protection scheme for detection and classification of all one conductor open faults in six phase line. A 138 kV six phase transmission line of 68 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 shows 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 proposed scheme.