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Application of Grey Relational Analysis to Fault type Identification on Power Transmission Line

机译:灰色关联分析在输电线路故障类型识别中的应用

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The speed and accuracy of digital relays of transmission lines can be improved by accurate and fast fault type identification, and this also allows single pole tripping and auto-reclosure to be employed. Conventional selection schemes, however, have defects. A fault phase selector, based on Grey Relational Analysis (GRA), is proposed in this paper. Experiments are given in this paper, the actual fault data of transmission line is compared with all kinds of fault types got by RTDS (Real Time Digital Simulation), the type of fault-phase is found lastly. The experiments’ result is accuracy, so the GRA based fault type identification method proposed in this paper is reliable and feasible.
机译:通过准确,快速的故障类型识别,可以提高传输线数字继电器的速度和准确性,这也允许采用单极跳闸和自动重合闸。然而,传统的选择方案具有缺陷。提出了一种基于灰色关联分析(GRA)的故障相位选择器。本文进行了实验,将传输线的实际故障数据与实时数字仿真技术(RTDS)得到的各种故障类型进行了比较,最后确定了故障相的类型。实验结果是准确的,因此本文提出的基于GRA的故障类型识别方法是可靠,可行的。

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