井下配电网电缆故障在线双端行波测距方法

赵敏, 尚鹏辉

赵敏,尚鹏辉.井下配电网电缆故障在线双端行波测距方法[J].工矿自动化,2016,42(11):50-55.. DOI: 10.13272/j.issn.1671-251x.2016.11.012
引用本文: 赵敏,尚鹏辉.井下配电网电缆故障在线双端行波测距方法[J].工矿自动化,2016,42(11):50-55.. DOI: 10.13272/j.issn.1671-251x.2016.11.012
ZHAO Min, SHANG Penghui. Online cable fault ranging method by double-end traveling wave for underground distribution network[J]. Journal of Mine Automation, 2016, 42(11): 50-55. DOI: 10.13272/j.issn.1671-251x.2016.11.012
Citation: ZHAO Min, SHANG Penghui. Online cable fault ranging method by double-end traveling wave for underground distribution network[J]. Journal of Mine Automation, 2016, 42(11): 50-55. DOI: 10.13272/j.issn.1671-251x.2016.11.012

井下配电网电缆故障在线双端行波测距方法

基金项目: 

河南省重点科技攻关计划资助项目(152102210198)

详细信息
  • 中图分类号: TD60

Online cable fault ranging method by double-end traveling wave for underground distribution network

  • 摘要: 为了解决采用传统经验模态分解的电缆故障测距方法存在的频带混叠问题,以及基于总体平均经验模态分解的电缆故障测距方法受残留白噪声影响等问题,提出了一种基于补充总体平均经验模态分解的井下配电网电缆故障在线双端行波测距方法。该方法通过补充总体平均经验模态分解提取双端故障行波线模分量的固有模态函数,利用基于瞬时频率突变和模极大值的奇异性检测原理进行行波波头标定,从而实现故障点定位。通过在PSCAD/EMTDC环境下搭建基于频变特性电缆线路的6 kV井下配电网模型并进行仿真,验证了该方法测距精度高,最大测距误差不超过4%。
    Abstract: In order to solve problems of block overlap of frequency bands in cable fault ranging method based on empirical mode decomposition and effect of residual white noise in the one based on ensemble empirical mode decomposition, an online cable fault ranging method by doubleend traveling wave for underground distribution network was proposed which was based on complementary ensemble empirical mode decomposition (CEEMD). The method extracts intrinsic mode function of line model components of doubleend fault traveling wave by CEEMD, and uses singularity detection principle based on instantaneous frequency mutation and modulus maxima to demarcate the wave head, so as to realize fault location. A 6 kV underground distribution network model was built in PSCAD/EMTDC software which was based on frequency characteristic of cable line. The simulation result shows the method has high ranging precision, and the max ranging error is no more than 4%.
  • 期刊类型引用(8)

    1. 于丹,颜伟. 煤矿井下避灾路径规划研究综述. 中国煤炭. 2022(02): 40-47 . 百度学术
    2. 马小陆,梅宏. 基于改进势场蚁群算法的移动机器人全局路径规划. 机械工程学报. 2021(01): 19-27 . 百度学术
    3. 杨华玲. 基于混合算法的多停靠点物流路径规划仿真. 计算机仿真. 2021(04): 119-123 . 百度学术
    4. 郭长恒,邢玉忠. 灾后巷道堆积体力学特征分析. 煤矿安全. 2020(05): 225-230 . 百度学术
    5. 郝天轩,赵立桢. 跨平台矿井应急救援路径寻优方案研究. 工矿自动化. 2020(05): 108-112 . 本站查看
    6. 胡人元. 深井被困事故井下救援处置程序体系构建. 武警学院学报. 2020(02): 35-38 . 百度学术
    7. 侯远韶. 基于改进蚁群算法在机器人路径优化中的应用. 安阳工学院学报. 2020(06): 39-42 . 百度学术
    8. 孙瑞,张文胜. 基于改进蚁群算法的移动机器人平滑路径规划. 图学学报. 2019(02): 344-350 . 百度学术

    其他类型引用(5)

计量
  • 文章访问数:  36
  • HTML全文浏览量:  8
  • PDF下载量:  10
  • 被引次数: 13
出版历程
  • 刊出日期:  2016-11-09

目录

    /

    返回文章
    返回