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《Automation of Electric Power Systems》 2001-17
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A NEW ALGORITHM OF DISCRIMINATION BETWEEN INRUSH CURRENT AND FAULT CURRENT OF TRANSFORMER BASED ON SELF-CORRELATION ANALYSIS

Li Guicun,L iu Wanshun,Teng L in,Zheng Tao North China Electric Power U niversity,Beijing10 0 0 85 ,China  
A new algorithm of discrimination between inrush currentand fault currentof transformer is brought forward based on self- correlation analysis,which is to calculate self- correlation coefficients of variant periods after analyzing the sam pling data and then discrim inate between inrush current and fault current by using the m agnitudes of the calculated coefficients. Due to the self- correlation of differential current comprises not only the information of the magnitude value,waveform ,but the phase information,all those information can be used to analyze organically and synthetically. Sim ulation studies with respect to different faults and inrush conditions are conducted,and the results prove that the proposed technique is able to offer fast responses on protection and accurately discriminate between inrush magnetizing current and internal faults.
【CateGory Index】: TM403.5
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