An Identification Method of Magnetizing Inrush Current Phenomena by Voltage Waveform

Abstract

Summary In this paper, the authors propose a new method for identification of magnetizing inrush current phenomena. In general, the identification is performed using the current waveform. However, saturation of current transformers makes it impossible to obtain such a waveform. Therefore, the authors introduce an identification method using the voltage waveform, in which the transformer saturation voltage does not occur. By applying Aitken's Δ2 process, it is shown that the new identification method gives accurate saturation start and end times.

Research on Intelligent Identification of Magnetizing Inrush Current based on Empirical Modal Decomposition

“…Literature [5] uses the features of asymmetric and rapidly decaying excitation inrush current waveform, and Literature [6] uses the non-continuous elements of the excitation inrush current for identification. Second, from the voltage side [7] , the analysis is performed by the different changes in its voltage when the fault current occurs, such as the voltage ratio method and the voltage harmonic braking principle. Third, from the perspective of machine learning methods, Literature [8][9] provides a new direction for transformer relay protection operation, such as support vector machinebased, convolutional neural networks, and deep neural networks.…”