The Development of Artificial Neural Network for Restoration of the Waveform of Secondary Current Distorted by Current Transformer Saturation

I. Litvinov, V. A. Titov, A. Trofimov
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Abstract

Starting from 2014 the problem of current transformer (CT) saturation is extremely urgent in Russian Federation. It is caused by some severe accidents in power facilities among which we would like to highlight the following ones:
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人工神经网络恢复电流互感器饱和畸变二次电流波形的研究进展
从2014年开始,电流互感器饱和问题在俄罗斯联邦显得尤为紧迫。这是由电力设施的一些严重事故引起的,其中我们想强调以下几点:
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Development of a Methodology for the Management of Electric Distribution Grids The Development of Artificial Neural Network for Restoration of the Waveform of Secondary Current Distorted by Current Transformer Saturation Development of a Technique for Automated Testing of Digital Protection and Automatic Control System of Substation Modification of the Method for Finding the Frequency Parameters of Transients in Unstable Systems Investigation of Various Modifications of the Discrete Fourier Transform in Power Measurement Units
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