Transmission line fault location estimation by Fourier & wavelet transforms using ANN
作者： A. Abdollahi , S. Seyedtabaii
DOI: 10.1109/PEOCO.2010.5559253
关键词:
摘要: Nowadays, power supply has become a business commodity. The quality and reliability of needs to be maintained in order obtain optimum performance. Therefore, it is extremely important that transmission line faults from various sources identified accurately, reliably corrected as soon possible. In this paper, comparative study the performance Fourier transform wavelet based methods combined with Neural Network (NN) for location estimation on high voltage lines presented. A new method proposed decreasing training time dimensions NN. algorithms are analysis fundamental frequency current signals event short circuit line. Similar performed transient using multi-resolution Daubchies-9 transform, characteristics two discussed.
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