基于暂态信息融合的输电线路单端故障定位方法
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王春明(1970-),男,高级工程师,主要从事电力系统及其自动化、电力市场等研究;E-mail:wangcm@cc.sgcc.com.cn

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TM773

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国家电网有限公司科技项目(SGJS0000DKJS1800798);国家自然科学基金(52077008)


Research on single-ended fault location of transmission line based on transient information fusion
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    摘要:

    传统基于暂态量的故障定位方法仅利用局部故障特征,在不同故障工况下可靠性不高、适应性不强。为此,深入分析暂态电压的时频域特性,根据不同故障位置产生的暂态信息存在相似性和差异性的特点,提取暂态信号中丰富的故障特征,如各次暂态浪涌到达时间差,幅值,极性,以及各次暂态浪涌主频分量波速、低频与高频能量比,共五类故障暂态特征;基于所提取的故障暂态特征,构建故障暂态信息融合矩阵,利用波形相关系数量化分析不同故障暂态信息矩阵的相似性和差异性,形成基于暂态信息融合的单端故障定位方法。大量仿真结果表明,所提方法可靠性高,对不同故障工况具有良好的适应性,且原理简单,能够将调度中心与线路运维有效联系,有利于缩短供电恢复时间,提高供电可靠性,具有一定工程应用价值。

    Abstract:

    The traditional fault location method based on transient value only utilizes local fault feature information and it has a poor adaptability to different fault conditions. Therefore, the time-frequency characteristics of transient voltage are analyzed at first. The similarity and difference of transient feature generated by different fault positions are considered and five fault features are involved in total. In time domain, the arrival time difference, amplitude, and polarity of each transient signal are extracted. In frequency domain, the energy ratio of low frequency to high frequency and the wave velocity of the main frequency components of each transient surge are selected. On this basis, a fault transient information fusion matrix is constructed according to the extracted fault features. Finally, the difference of different fault transient information matrix is analyzed quantitatively by utilizing a waveform correlation coefficient, and a novel single-ended fault location method based on fault transient information fusion is proposed and it can be adapted to different fault conditions since it has a simple principle and low requirement for sampling frequency. The simulation verifies reliability and practical value of this method.

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王春明,李杰,徐正清,韩佳兵,李玉凯.基于暂态信息融合的输电线路单端故障定位方法[J].电力科学与技术学报,2022,(2):62-71. WANG Chunming, LI Jie, XU Zhengqing, HAN Jiabing, LI Yukai. Research on single-ended fault location of transmission line based on transient information fusion[J]. Journal of Electric Power Science and Technology,2022,(2):62-71.

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  • 在线发布日期: 2022-05-26
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