Transmission line fault classification based on wavelet singular entropy and artificial immune recognition system algorithm

The method based on wavelet singular entropy(WSE) and artificial immune recognition system (AIRS) for transmission line fault classification is presented in this paper. Wavelet singular entropy is used to quantify uncertainty of fault high frequency transient voltages so as to reflect and identify various failure states of power system. On this basis, AIRS for fault classification is presented to overcome the shortcomings of artificial neural network (ANN) and support vector machines (SVMs). The classifier can also decrease number of input parameters, relieve the dependence on prior knowledge of decision maker and improve generalization ability. The simulation results show the method is effective and correct.