Experimental results of a new differential protection algorithm in a distribution transformer using singular values

H. Esponda, E. Vázquez, A. Avalos
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Abstract

This paper describes a method to identify inrush currents in a distribution transformer using the Singular Value Decomposition during transient conditions. The proposed method applies the SVD to a measurement matrix formed by the differential current per each phase normalized and filtered. The goal is to obtain the greatest singular value that brings the most variability highlighting the characteristic patterns in differential currents. A threshold based on Euclidean norm was established to differentiate between inrush and fault currents. If the magnitude of the largest singular value is above the threshold, an internal fault is determined, otherwise, an inrush current. The algorithm was implemented on MATLAB, and a broad array of experimental cases was made in two different three-phase transformers to validate its performance. The algorithm successfully differentiated inrush conditions from internal faults in all 100 cases.
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一种新的配电变压器奇异值差动保护算法的实验结果
本文介绍了一种用奇异值分解法识别配电变压器暂态励磁涌流的方法。该方法将奇异值分解应用于由各相位差分电流归一化滤波后形成的测量矩阵。目标是获得最大的奇异值,它带来最大的可变性,突出了差动电流的特征模式。建立了基于欧几里得范数的阈值来区分励磁涌流和故障电流。如果最大奇异值的幅度大于阈值,则确定为内部故障,否则为浪涌电流。在MATLAB上实现了该算法,并在两种不同的三相变压器上进行了大量的实验验证。该算法在所有100个案例中都成功地区分了涌流条件和内部故障。
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