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Faulty feeder detection based on the composite factors in resonant grounding distribution system

机译:基于谐振接地分配系统复合因子的送料器检测故障

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摘要

Faulty feeder detection of the single-phase-to-ground fault in resonant grounding distribution system (GRDS) is faced with huge challenge due to weak fault current, and the existing methods indicate low reliability in some situations. For improvement, a new method based on composite factors is proposed in this paper. The composite factor is composed of transient factor and steady-state factor which are defined respectively according to transient process and steady-state component in the fault zero-sequence equivalent network. The transient factor of faulty feeder is much greater than those of healthy feeders, and the steady-state factor of faulty feeder is a constant and also much larger than those of healthy feeders when the series resistance of Peterson coil exists. However, the steady-state factors of all feeders are equal to 0 when the series resistance is short-circuited. Thus, a threshold value is constructed. By comparing the composite factors and the setting threshold, the faulty feeder can be detected. The correctness and adaptability of the proposed method are verified by simulations under various fault situations, such as different transition resistances, fault initial angles, fault distances, Gaussian white noises and compensated degrees. The tested results of experiment platform based on RTDS prove the correctness and feasibility of the proposed method.
机译:由于故障电流较弱,谐振接地分配系统(GRD)中的单相对接地故障的送料器检测有缺陷的馈线检测,因此存在巨大的挑战,并且现有方法在某些情况下表明低可靠性。为了改进,本文提出了一种基于综合因子的新方法。复合因子由瞬态因子和稳态因子组成,该稳态因素分别根据故障零序等同网络中的瞬态过程和稳态分量来定义。错误饲养者的瞬态因素远大于健康饲养剂的瞬态因素,并且当存在彼得松线圈的串联电阻时,错误的饲养器的稳态因子是恒定的,并且在彼得松卷的串联电阻存在时也大得多。然而,当串联电阻短路时,所有馈线的稳态因子等于0。因此,构建阈值。通过比较复合因子和设定阈值,可以检测故障馈线。所提出的方法的正确性和适应性通过仿真在各种故障情况下验证,例如不同的过渡电阻,故障初始角度,故障距离,高斯白噪声和补偿度。基于RTDS的实验平台测试结果证明了该方法的正确性和可行性。

著录项

  • 来源
    《Electric power systems research》 |2020年第12期|106578.1-106578.9|共9页
  • 作者单位

    Changsha Univ Sci & Technol Hunan Prov Key Lab Smart Grids Operat & Control Changsha Peoples R China;

    Changsha Univ Sci & Technol Hunan Prov Key Lab Smart Grids Operat & Control Changsha Peoples R China;

    Hunan Univ Coll Elect & Informat Engn Changsha Peoples R China;

    Changsha Univ Sci & Technol Hunan Prov Key Lab Smart Grids Operat & Control Changsha Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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