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首页> 美国卫生研究院文献>SpringerPlus >An improved fault detection classification and location scheme based on wavelet transform and artificial neural network for six phase transmission line using single end data only
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An improved fault detection classification and location scheme based on wavelet transform and artificial neural network for six phase transmission line using single end data only

机译：仅基于单端数据的基于小波变换和人工神经网络的六相输电线路故障检测分类与定位的改进方案

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摘要

Restrictions on right of way and increasing power demand has boosted development of six phase transmission. It offers a viable alternative for transmitting more power, without major modification in existing structure of three phase double circuit transmission system. Inspite of the advantages, low acceptance of six phase system is attributed to the unavailability of a proper protection scheme. The complexity arising from large number of possible faults in six phase lines makes the protection quite challenging. The proposed work presents a hybrid wavelet transform and modular artificial neural network based fault detector, classifier and locator for six phase lines using single end data only. The standard deviation of the approximate coefficients of voltage and current signals obtained using discrete wavelet transform are applied as input to the modular artificial neural network for fault classification and location. The proposed scheme has been tested for all 120 types of shunt faults with variation in location, fault resistance, fault inception angles. The variation in power system parameters viz. short circuit capacity of the source and its X/R ratio, voltage, frequency and CT saturation has also been investigated. The result confirms the effectiveness and reliability of the proposed protection scheme which makes it ideal for real time implementation.
机译：道路通行权的限制和不断增长的电力需求促进了六相变速器的发展。它为传输更多的功率提供了可行的替代方案，而无需对三相双回路传输系统的现有结构进行重大修改。尽管具有优势，但六相系统的低接受度归因于没有合适的保护方案。六相线路中大量可能的故障引起的复杂性使保护工作颇具挑战性。拟议的工作提出了一种混合小波变换和模块化人工神经网络的故障检测器，分类器和定位器，仅使用单端数据即可检测六相线。使用离散小波变换获得的电压和电流信号的近似系数的标准偏差被用作模块化人工神经网络的输入，以进行故障分类和定位。所提出的方案已针对所有120种类型的并联故障进行了测试，这些故障的位置，故障电阻，故障起始角度都有变化。电力系统参数的变化。还研究了电源的短路容量及其X / R比，电压，频率和CT饱和度。结果证实了所提出的保护方案的有效性和可靠性，使其成为实时实施的理想选择。

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