Volume 48 Issue 8
Aug.  2022
Turn off MathJax
Article Contents
HAN Guoguo, SHI Xiaojun, WANG Hui, et al. Fault line selection method for coal mine power grid based on RCMDE and KFCM[J]. Journal of Mine Automation,2022,48(8):92-99.  doi: 10.13272/j.issn.1671-251x.17911
Citation: HAN Guoguo, SHI Xiaojun, WANG Hui, et al. Fault line selection method for coal mine power grid based on RCMDE and KFCM[J]. Journal of Mine Automation,2022,48(8):92-99.  doi: 10.13272/j.issn.1671-251x.17911

Fault line selection method for coal mine power grid based on RCMDE and KFCM

doi: 10.13272/j.issn.1671-251x.17911
  • Received Date: 2022-03-25
  • Rev Recd Date: 2022-07-26
  • Available Online: 2022-08-15
  • It is difficult to accurately select the fault line when the single-phase ground fault occurs in the coal mine power grid with the widely used resonant grounding system. In order to solve the above problem, a fault line selection method of the coal mine power grid based on the refined composite multiscale dispersion entropy (RCMDE) and the kernel fuzzy C-means clustering (KFCM) is proposed. The limitations of using amplitude, polarity and waveform similarity as line selection characteristic quantities: the applicability of the line selection method based on amplitude and polarity difference is limited. If the polarity of the zero sequence current transformer in the line is reversed, the method based on polarity will directly fail. When the sampling is not synchronized, the line selection method based on waveform similarity is difficult to obtain correct results. In order to overcome the above limitations, RCMDE is introduced to measure the complexity and irregularity of the transient zero sequence current signal of each line. RCMDE is used as the characteristic quantity of line selection. The KFCM algorithm is used to cluster the RCMDE to realize the automatic identification of fault lines. The bus fault and feeder fault are distinguished by judging whether the contour coefficient exceeds the threshold value. Finally, the feeder line with the fault point is judged through the membership degree matrix obtained by clustering. The simulation results show the following points. ① The RCMDE curve of the fault line is different from that of the non-fault line, and the curves can be divided into two types. RCMDE can be used as the fault characteristic index of fault line. ② When the bus fault occurs, there are clusters with an average contour coefficient less than the threshold value in the clustering results. However, when feeder fault occurs, the contour coefficients of the clustering results are all greater than the threshold value. Under various fault scenarios, the coal mine power grid fault line selection method based on RCMDE and KFCM can realize correct line selection. The results show that its accuracy is not affected by factors such as fault line, fault location, fault closing angle and grounding resistance. ③ Under the conditions of noise disturbance, the fault line selection method based on RCMDE and KFCM can realize correct line selection in the case of low resistance grounding or high resistance grounding. And the method has a strong anti-interference capability. ④ Under the conditions of asynchronous sampling and reverse polarity of zero-sequence current transformer in the fault line, the method based on RCMDE and KFCM can still realize correct line selection. And the line selection result has high robustness.

     

  • loading
  • [1]
    高宏杰,赵建文,郭秀才. 煤矿电网单相漏电故障区段自动定位探索[J]. 工矿自动化,2021,47(5):106-111.

    GAO Hongjie,ZHAO Jianwen,GUO Xiucai. Research on automatic location of single-phase leakage fault zone in coal mine power network[J]. Industry and Mine Automation,2021,47(5):106-111.
    [2]
    LIU Penghui,DU Shaotong,SUN Kang,et al. Single-line-to-ground fault feeder selection considering device polarity reverse installation in resonant grounding system[J]. IEEE Transactions on Power Delivery,2021,36(4):2204-2212. doi: 10.1109/TPWRD.2020.3022422
    [3]
    NIU Lin,WU Guiqing,XU Zhangsheng. Single-phase fault line selection in distribution network based on signal injection method[J]. IEEE Access,2021,9:21567-21578. doi: 10.1109/ACCESS.2021.3055236
    [4]
    张利,杨以涵,杨秀媛,等. 移动式比相法配电网接地故障定位研究[J]. 中国电机工程学报,2009,29(7):91-97. doi: 10.3321/j.issn:0258-8013.2009.07.015

    ZHANG Li,YANG Yihan,YANG Xiuyuan,et al. Method of mobile phase-comparison for fault location of distribution network[J]. Proceeding of the CSEE,2009,29(7):91-97. doi: 10.3321/j.issn:0258-8013.2009.07.015
    [5]
    孙其东,张开如,刘建,等. 基于五次谐波和小波重构能量的配电网单相接地故障的选线方法研究[J]. 电测与仪表,2016,53(16):1-4. doi: 10.3969/j.issn.1001-1390.2016.16.001

    SUN Qidong,ZHANG Kairu,LIU Jian,et al. Research on single-phase fault earth fault line selection method for the distribution network based on fifth harmonics and wavelet reconstruction[J]. Electrical Measurement & Instrumentation,2016,53(16):1-4. doi: 10.3969/j.issn.1001-1390.2016.16.001
    [6]
    栾晓明,武守远,贾春娟,等. 基于改进零序导纳法的单相接地故障选线原理[J]. 电网技术,2022,46(1):353-360. doi: 10.13335/j.1000-3673.pst.2021.0425

    LUAN Xiaoming,WU Shouyuan,JIA Chunjuan,et al. Fault line selection principle of single-phase-to-ground fault based on improved zero-sequence admittance[J]. Power System Technology,2022,46(1):353-360. doi: 10.13335/j.1000-3673.pst.2021.0425
    [7]
    束洪春,龚振,田鑫萃,等. 基于故障特征频带及形态谱的单相接地故障选线[J]. 电网技术,2019,43(3):1041-1053.

    SHU Hongchun,GONG Zhen,TIAN Xincui,et al. Single line-to-ground fault line selection based on fault characteristic frequency band and morphological spectrum[J]. Power System Technology,2019,43(3):1041-1053.
    [8]
    魏向向,温渤婴. 基于2阶累加生成相关性的谐振接地系统故障选线方法[J]. 电网技术,2017,41(5):1674-1682.

    WEI Xiangxiang,WEN Boying. A novel fault line detection method based on 2-order accumulated generating operation correlation analysis for resonant earthed system[J]. Power System Technology,2017,41(5):1674-1682.
    [9]
    于群,尚雪丽. 一种矿井漏电保护选线方法[J]. 工矿自动化,2020,46(11):17-22.

    YU Qun,SHANG Xueli. A line selection method of mine leakage protection[J]. Industry and Mine Automation,2020,46(11):17-22.
    [10]
    邓丰,梅龙军,唐欣,等. 基于时频域行波全景波形的配电网故障选线方法[J]. 电工技术学报,2021,36(13):2861-2870.

    DENG Feng,MEI Longjun,TANG Xin,et al. Faulty line selection method of distribution network based on time-frequency traveling wave panoramic waveform[J]. Transactions of China Electrotechnical Society,2021,36(13):2861-2870.
    [11]
    王建元,朱永涛,秦思远. 基于方向行波能量的小电流接地系统故障选线方法[J]. 电工技术学报,2021,36(19):4085-4096.

    WANG Jianyuan,ZHU Yongtao,QIN Siyuan. Fault line selection method for small current grounding system based on directional traveling wave energy[J]. Transactions of China Electrotechnical Society,2021,36(19):4085-4096.
    [12]
    陈奎,韦晓广,陈景波,等. 基于样本数据处理和ADABOOST的小电流接地故障选线[J]. 中国电机工程学报,2014,34(34):6228-6237.

    CHEN Kui,WEI Xiaoguang,CHEN Jingbo,et al. Fault line detection using sampled data processing and ADABOOST for small current grounding system[J]. Proceeding of the CSEE,2014,34(34):6228-6237.
    [13]
    殷浩然,苗世洪,郭舒毓,等. 基于S变换相关度和深度学习的配电网单相接地故障选线新方法[J]. 电力自动化设备,2021,41(7):88-96. doi: 10.16081/j.epae.202105028

    YIN Haoran,MIAO Shihong,GUO Shuyu,et al. Novel method for single-phase grounding fault line selection in distribution network based on S-transform correlation and deep learning[J]. Electric Power Automation Equipment,2021,41(7):88-96. doi: 10.16081/j.epae.202105028
    [14]
    郝帅,张旭,马瑞泽,等. 基于改进GoogLeNet的小电流接地系统故障选线方法[J]. 电网技术,2022,46(1):361-368.

    HAO Shuai,ZHANG Xu,MA Ruize,et al. Fault line selection method for small current grounding system based on improved GoogLeNet[J]. Power System Technology,2022,46(1):361-368.
    [15]
    HAMED A,MOSTAFA R,DANI A,et al. Refined composite multiscale dispersion entropy and its application to biomedical signals[J]. IEEE Transactions on Biomedical Engineering,2017,64(12):2872-2879. doi: 10.1109/TBME.2017.2679136
    [16]
    ROSTAGHI M,AZAMI H. Dispersion entropy:a measure for time-series analysis[J]. IEEE Signal Processing Letters,2016,23(5):610-614. doi: 10.1109/LSP.2016.2542881
    [17]
    何玉灵,孙凯,王涛,等. 基于变分模态分解与精细复合多尺度散布熵的发电机匝间短路故障诊断[J]. 电力自动化设备,2021,41(3):164-172. doi: 10.16081/j.epae.202101014

    HE Yuling,SUN Kai,WANG Tao,et al. Fault diagnosis of generator interturn short circuit fault based on variational mode decomposition and refined composite multiscale dispersion entropy[J]. Electric Power Automation Equipment,2021,41(3):164-172. doi: 10.16081/j.epae.202101014
    [18]
    李从志,郑近德,潘海洋,等. 基于精细复合多尺度散布熵与支持向量机的滚动轴承故障诊断方法[J]. 中国机械工程,2019,30(14):1713-1719,1726.

    LI Congzhi,ZHENG Jinde,PAN Haiyang,et al. Fault diagnosis method of rolling bearings based on refined composite multiscale dispersion entropy and support vector machine[J]. China Mechanical Engineering,2019,30(14):1713-1719,1726.
    [19]
    LIU Jingwei,XU Meizhi. Kernelized fuzzy attribute C-means clustering algorithm[J]. Fuzzy Sets and Systems,2008,159(18):2428-2445. doi: 10.1016/j.fss.2008.03.018
    [20]
    郭谋发. 配电网单相接地故障人工智能选线[M]. 北京: 中国水利水电出版社, 2020.

    GUO Moufa. Artificial intelligence line selection of single-phase grounding fault in distribution network[M]. Beijing: China Water & Power Press, 2020.
    [21]
    卢丹. 基于WAMS的矿井高压电网单相接地故障选线及定位方法研究[D]. 北京: 中国矿业大学(北京), 2015.

    LU Dan. Study on single-phase earth fault line detection and fault location method of coal mine high-voltage grid base on WAMS[D]. Beijing: China University of Mining & Technology-Beijing, 2015.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(4)  / Tables(5)

    Article Metrics

    Article views (142) PDF downloads(25) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return