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Novel Approach to Fault Classification in EHV Transmission Line based on Multi-information Measurements of Fault Transients

机译:基于故障瞬态多信息测量的EHV传输线故障分类的新方法

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摘要

Based on the qualitative analysis of different fault transients in EHV (Extra High Voltage) transmission line, the features of different transient components were given out. Taking various transient features into account and combining with the information theory, this paper proposed a new algorithm for fault classification based on multi-information measurements of fault transients, which took advantage of both information entropy measurement and complexity measurement. The proposed algorithm can classify different types of faults with different transient components and simulations proved it to be useful especially for the condition under which the fault voltage inception angle is zero and the high-frequency transient component is very low. Therefore, this algorithm would be available in providing a good approach to abundant fault information for transient protection and transient fault research.
机译:基于EHV(超高电压)输电线路不同故障瞬变的定性分析,给出了不同瞬态组件的特征。采取各种瞬态特征,并与信息理论相结合,本文提出了一种基于故障瞬态的多信息测量的故障分类算法,其利用信息熵测量和复杂性测量。所提出的算法可以分类不同类型的故障,具有不同的瞬态分量,并且仿真证明是有用的,特别是对于故障电压成立角为零的条件,高频瞬态分量非常低。因此,该算法可用于提供良好的瞬态保护和瞬态故障研究的丰富故障信息。

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