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A new method for discrimination of internal fault from other transient states in power transformer using Clarke's transform and modified hyperbolic S-transform

机译:利用Clarke变换和改进的双曲S变换识别电力变压器内部故障与其他暂态的新方法

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摘要

In this paper, a new method is proposed for discriminating internal faults from other abnormal conditions in power transformers such as inrush currents, external faults, over-excitation, and ultra-saturation. Since the differential current signals are non-stationary, a powerful tool such as S-transform is needed for their time-frequency analysis. In this study, some important characteristics are extracted using the Clark's transform and modified hyperbolic S-transform according to which different conditions are distinguished and classified. These features include energy contour of first level, variance index, standard deviation of second harmonic component, and a special criterion. In this paper, all possible transient conditions and the effects of the saturation of current transformers are considered. Various simulations for different operating conditions of transformer are performed via PSCAD/EMTDC software. Also, the entire process of modified hyperbolic S-transform and the proposed algorithm are done in MATLAB software. Simulation results show that the proposed algorithm can be reliably used for the identification and classification of different faults in transformers.
机译:本文提出了一种新的方法来将内部故障与变压器的其他异常情况区分开,例如浪涌电流,外部故障,过励磁和超饱和。由于差分电流信号不稳定,因此需要强大的工具(例如S变换)进行时频分析。在这项研究中,利用Clark变换和改进的双曲S变换提取了一些重要特征,根据这些特征可以区分和分类不同的条件。这些特征包括第一级的能量轮廓,方差指数,第二谐波分量的标准偏差以及特殊标准。本文考虑了所有可能的瞬态条件和电流互感器饱和的影响。通过PSCAD / EMTDC软件对变压器的不同运行条件进行了各种模拟。同样,在MATLAB软件中完成了修正的双曲S变换的全过程和提出的算法。仿真结果表明,所提出的算法可以可靠地用于变压器不同故障的识别和分类。

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