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Two phase short circuit fault detections for transmission line using wavelet transform and neural network

In this paper we’ll consider only the two-phase short-circuit fault type on a three-phase transmission line. The model use a transmission line at 220kV, 200 km long, frequency at 50Hz with different positions of the failure and different failure short-circuit resistances to test the proposed solutions. | Trương Tuấn Anh Tạp chí KHOA HỌC & CÔNG NGHỆ 139(09): 193 - 199 TWO-PHASE SHORT-CIRCUIT FAULT DETECTIONS FOR TRANSMISSION LINE USING WAVELET TRANSFORM AND NEURAL NETWORK Truong Tuan Anh* College of Technology - TNU SUMMARY Short-circuit is one of the most popular defects on the power transmission lines. Due to the presence of different types of short-circuit fault, in this paper we’ll consider only the two-phase short-circuit fault type on a three-phase transmission line. The model use a transmission line at 220kV, 200 km long, frequency at 50Hz with different positions of the failure and different failure short-circuit resistances to test the proposed solutions. The input signals are only the voltages and currents at the beginning one-terminal of the transmission line. The math tool selected for this task is the decomposition algorithms by using Daubechies wavelets and MultiLayer Perceptron neural network (MLP). The numerical results will show the effectiveness of the proposed method. Keywords: Fault location, Transmission lines modeling, Reverse problem, short-circuit fault, Wavelet decomposition INTRODUCTION* The problem of short-circuit fault detection and its parameters estimation is one of the important tasks in a power transmission system. An accurate location of the fault will allow a faster repair and a faster system restoration. That will also lower the cost of operation of the system. For each short-circuit fault, we often need to estimate three parameters: the moment of the fault, the position of the fault and the shortage resistance. In this paper, we present the idea and the results of a new method, which will use only the signals measured at the sending ends of the lines to detect and locate the two-phase short circuit happened on the line. This method will greatly reduce the number of hardware devices to be used. But we need to develop more complicate signal processing algorithms in order to be able to get the correct results. The mathematical