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Identification of Transformer Inrush Currents Based on Waveform Distribution Characteristics |
Wang Xue, Wang Zengping |
North China Electric Power University Baoding 071003 China |
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Abstract A new method of transformer inrush currents identification based on the distribution characteristics of current waveforms in time domain is presented in this paper. The current waveform distribution coefficient is defined based on the histogram, and the distribution characteristics of the differential currents under the conditions of inrush and internal fault are analyzed. Based on the above analysis the waveform distribution characteristic coefficient is defined as the ratio of the waveform distribution coefficients of two different subintervals, and whether the value of the coefficient is within certain region is used as the criterion to identify inrush currents. The theory basis of determining the number of subintervals is analyzed. The proposed method is verified with the data obtained from dynamic analog and digital simulation experiments. The results show that the method is able to discriminate between inrush currents and fault currents rapidly with less calculation, and the performance of the method in the aspects of reliability and sensitivity is superior to those of the second harmonic restraint principle and the dead angle principle.
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Received: 06 November 2010
Published: 19 March 2014
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