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首页> 外文期刊>International journal of electrical and power engineering >Internal Fault/In-Rush Currents Discrimination Based on Fuzzy/Wavelet Transform in Power Transformers
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Internal Fault/In-Rush Currents Discrimination Based on Fuzzy/Wavelet Transform in Power Transformers

机译：基于模糊/小波变换的电力变压器内部故障/涌流识别

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摘要

Transformers are major elements of any power systems. Normally they must be properly protected by differential relays. This protection system should be precise and reliable via implementation of strong algorithms that able to differentiate between faulted and unfaulted condition to fully grantee of power continuity. This system should be able to detect the non-faulted condition such as inrush currents which should not be activated in this condition meanwhile it must be activated in internal fault conditions as fast as possible. This study presents an approach for differential protection of power transformers this uses Wavelet Transform (WT) and Adaptive Network-based Fuzzy Inference System (ANFIS) to discriminate internal faults from inrush currents. The proposed algorithm has been designed based on the differences between both amplitudes of wavelet transform coefficients in a specific frequency band and rising and decaying duration generated by faults and inrush currents. The performance of this simulated model is demonstrated by simulation of different faults and switching conditions on a power transformer using Matlab/Simulink software package.
机译：变压器是任何电力系统的主要元素。通常，它们必须由差动继电器适当地保护。该保护系统应通过实施强大的算法来实现精确而可靠的算法，这些算法能够区分故障状态和非故障状态，以完全保证功率连续性。该系统应该能够检测非故障状态，例如浪涌电流，在这种情况下不应该激活它，而必须在内部故障条件下尽快激活它。这项研究提出了一种电力变压器差动保护的方法，该方法使用小波变换（WT）和基于自适应网络的模糊推理系统（ANFIS）来区分内部故障和浪涌电流。该算法是基于特定频带中小波变换系数的两个幅度与故障和浪涌电流产生的上升和下降持续时间之间的差异而设计的。通过使用Matlab / Simulink软件包对电力变压器上的不同故障和开关条件进行仿真，可以证明该仿真模型的性能。

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