基于IHHT‑RF的配电网单相接地故障选线方法
CSTR:
作者:
作者单位:

(1.长沙理工大学电气与信息工程学院,湖南 长沙 410114;2. 国网四川省电力公司达州供电公司,四川 达州 635000)

通讯作者:

李泽文(1975—),男,博士,教授,博士生导师,主要从事电力系统保护与控制研究;E?mail:lzw0917@163.com

中图分类号:

TM862

基金项目:

国家自然科学基金(51877012)


Single‑phase‑to‑ground fault line selection method of distribution network based on IHHT‑RF
Author:
Affiliation:

(1.School of Electrical & Information Engineering, Changsha University of Science & Technology,Changsha 410114, China;2.State Grid Sichuan Electric Power Company Dazhou Power Supply Company, Dazhou 635000, China)

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    摘要:

    小电流系统发生单相接地故障时故障特征易受高接地过渡电阻、小初相角等弱故障条件影响而导致选线准确率低。为此,提出一种基于改进希尔伯特黄变换—随机森林(improved Hilbert?Huang transform?random forest,IHHT?RF)的配电网单相接地故障选线方法。首先,提取每条线路在故障发生时的电流暂态信号,通过IHHT提取纯净的暂态电气量,构造标准差、能量熵和幅值畸变度3类特征向量;然后,将特征向量输入RF分类器建立故障选线模型,把故障选线问题转化为二分类问题;最后,将测量数据输入RF分类器中得出分类结果,实现故障线路的自动识别。仿真结果表明,该选线方法综合利用暂态信号的幅值、频率和能量等特征信息,不受弱故障条件、馈线结构等因素的影响,能有效提高故障选线的准确率,具有较强的适应性和可靠性。

    Abstract:

    When a single-phase-to-ground fault occurs in the small current system, its fault characteristics are easily affected by weak fault conditions such as the high grounding transition resistance and the small initial phase angle. Therefore, this paper presents a method of the single-phase-to-ground fault line selection based on an improved Hilbert?Huang transform-random forest. Firstly, the current transient signals of every lines are extracted. Then the pure transient electrical quantities are extracted by the improved Hilbert?Huang transform, and three kinds of eigenvectors such as standard deviations, energy entropy and amplitude distortion degrees are constructed. In the following, the eigenvectors are input into the random forest classifier to establish a fault line selection model, and the fault line selection problem is then transformed into a binary classification problem which realizing the automatic identification of fault lines. The simulation results show that the proposed method can effectively improve the accuracy of fault line selection by comprehensively using the amplitude, frequency and energy of transient signal; whatsmore it is not affected by weak fault condition and feeder structure, it hence has strong adaptability and reliability.

    参考文献
    [1] 田君杨,柳影,薛永端,等.小电流接地故障选线装置零序电压启动分析[J].供用电,2022,39(5):54-60. TIAN Junyang,LIU Ying,XUE Yongduan,et al.Analysis of zero sequence voltage starting of small current grounding fault line selection device[J].Distribution & Utilization,2022,39(5):54-60.
    [2] 李琰,赵莹,杜磊,等.计及分布式电源注入谐波的单相接地故障联合选线[J].电力工程技术,2023,42(4):113-121. LI Yan,ZHAO Ying,DU Lei,et al.Combined line selection of single-phase grounding faults considering harmonic injection of distributed powers[J].Electric Power Engineering Technology,2023,42(4):113-121.
    [3] 薛太林,靳贰伟,吴杰.基于五次谐波和混沌系统的谐振接地系统故障选线[J].电测与仪表,2022,59(1):176-182. XUE Tailin,JIN Erwei,WU Jie.Fault line selection of resonant grounding system based on fifth harmonic and chaotic system[J].Electrical Measurement & Instrumentation,2022,59(1):176-182.
    [4] 周宇,汤涛,曾祥君,等.基于零序电流幅值比倍增系数的灵活接地系统故障选线方法[J].电力系统保护与控制,2022,50(23):112-120. ZHOU Yu,TANG Tao,ZENG Xiangjun,et al.Fault line detection method for a flexible grounding system based on a zero-sequence current amplitude ratio multiplication coefficient[J].Power System Protection and Control,2022,50(23):112-120.
    [5] 刘映彤,黄纯,袁静泊,等.谐振接地系统两点同相接地故障暂态特征及选线[J].中国电力,2022,55(10):62-70. LIU Yingtong,HUANG Chun,YUAN Jingbo,et al.Transient characteristics and line selection of two-point grounding faults on same phase in resonant grounding system[J].Electric Power,2022,55(10):62-70.
    [6] 何小龙,高红均,高艺文,等.基于GA优化BP神经网络的有源配电网高阻接地故障选线方法[J].智慧电力,2023,51(4):54-61. HE Xiaolong,GAO Hongjun,GAO Yiwen,et al.High resistance grounding fault line selection method for active distribution network based on GA optimized BP neural network[J].Smart Power,2023,51(4):54-61.
    [7] 聂祥论,张靖,何宇,等.基于序列特征融合和深度置信网络的配网故障选线方法[J].电网与清洁能源,2023,39(5):66-75,84. NIE Xianglun,ZHANG Jing,HE Yu,et al.A method of distribution network fault line selection based on sequence feature fusion and deep belief network[J].Power System and Clean Energy,2023,39(5):66-75,84.
    [8] 朱晓红,杨伟荣,张蓉,等.基于RNN-LSTM神经网络的小电流接地故障选线方法[J].高压电器,2023,59(7):213-220. ZHU Xiaohong,YANG Weirong,ZHANG Rong,et al.Line selection method of low current grounding fault based on RNN-LSTM neural network[J].High Voltage Apparatus,2023,59(7):213-220.
    [9] 陈池瑶,苗世洪,殷浩然,等.基于注意力机制—卷积神经网络的配电网单相接地故障选线方法[J].电力建设,2023,44(4):82-93. CHEN Chiyao,MIAO Shihong,YIN Haoran,et al.Single-phase grounding-fault line selection method based on attention mechanism-convolution neural network for distribution network[J].Electric Power Construction,2023,44(4):82-93.
    [10] 秦苏亚,薛永端,刘砾钲,等.有源配电网小电流接地故障暂态特征及其影响分析[J].电工技术学报,2022,37(3):655-666. QIN Suya,XUE Yongduan,LIU Lizheng,et al.Transient characteristics and influence of small current grounding faults in active distribution network[J].Transactions of China Electrotechnical Society,2022,37(3):655-666.
    [11] 汤涛,周宇,曾祥君,等.基于过渡电阻评估的灵活接地系统暂态故障选线方法[J].电力系统自动化,2023,47(5):171-179. TANG Tao,ZHOU Yu,ZENG Xiangjun,et al.Transient fault line selection method for flexible grounded system based on transition resistance evaluation[J].Automation of Electric Power Systems,2023,47(5):171-179.
    [12] 杨帆.基于有源工频电流注入的配电网对地参数精确测量[J].电力科学与技术学报,2018,33(1):81-87. YANG Fan.Ground parameters accuracy measurement in distribution network based on active current injection with power frequency[J].Journal of Electric Power Science and Technology,2018,33(1):81-87.
    [13] 韦莉珊,贾文超,焦彦军.基于5次谐波与导纳不对称度的配电网单相接地选线方法[J].电力系统保护与控制,2020,48(15):77-83. WEI Lishan,JIA Wenchao,JIAO Yanjun.Single-phase fault line selection scheme of a distribution system based on fifth harmonic and admittance asymmetry[J].Power System Protection and Control,2020,48(15):77-83.
    [14] 邹豪,曾祥君,喻锟,等.基于零序电压调控的故障选线选相新方法[J].电力系统保护与控制,2020,48(15):69-76. ZOU Hao,ZENG Xiangjun,YU Kun,et al.A new method of fault line selection and phase selection based on zero sequence voltage regulation[J].Power System Protection and Control,2020,48(15):69-76.
    [15] 李侯君,刘辉,邹琪骁,等.基于VMD和FCM的配电网单相接地故障选线[J].湖北工业大学学报,2019,34(4):40-44. LI Houjun,LIU Hui,ZOU Qixiao,et al.Research on single-phase ground fault line selection based on VMD and FCM[J].Journal of Hubei University of Technology,2019,34(4):40-44.
    [16] 卫永琴,鞠凯,王潇龙,等.变分模态分解在小电流接地系统故障选线中的应用[J].电力系统及其自动化学报,2019,31(11):31-38. WEI Yongqin,JU Kai,WANG Xiaolong,et al.Application of variational mode decomposition in fault line selection for small-current grounding system[J].Proceedings of the CSU-EPSA,2019,31(11):31-38.
    [17] 高金峰,秦瑜瑞,殷红德.基于小波包变换和支持向量机的故障选线方法[J].郑州大学学报(工学版),2020,41(1):63-69. GAO Jinfeng,QIN Yurui,YIN Hongde.Fault line selection based on wavelet packet transform and support vector machine[J].Journal of Zhengzhou University (Engineering Science),2020,41(1):63-69.
    [18] 王玉梅,张家康.基于卷积神经网络多判据融合的井下电网故障选线方法[J].电源学报,2023,21(5):110-117. WANG Yumei,ZHANG Jiakang.Fault line selection method for mine power grid based on fusion of multiple criteria of convolutional neural network[J].Journal of Power Supply,2023,21(5):110-117.
    [19] 庞清乐,孙同景,穆健,等.基于神经网络的中性点经消弧线圈接地系统故障选线方法[J].电网技术,2005,29(24):78-81. PANG Qingle,SUN Tongjing,MU Jian,et al.Neural network based faulty line detection method for power system with neutral grounding via arc suppression coil[J].Power System Technology,2005,29(24):78-81.
    [20] 薛永端,李娟,徐丙垠.中性点经消弧线圈接地系统小电流接地故障暂态等值电路及暂态分析[J].中国电机工程学报,2015,35(22):5703-5714. XUE Yongduan,LI Juan,XU Bingyin.Transient equivalent circuit and transient analysis of single-phase earth fault in arc suppression coil grounded system[J].Proceedings of the CSEE,2015,35(22):5703-5714.
    [21] 薛永端,李娟,陈筱薷,等.谐振接地系统高阻接地故障暂态选线与过渡电阻辨识[J].中国电机工程学报,2017,37(17):5037-5048+5223. XUE Yongduan,LI Juan,CHEN Xiaoru,et al.Faulty feeder selection and transition resistance identification of high impedance fault in a resonant grounding system using transient signals[J].Proceedings of the CSEE,2017,37(17):5037-5048+5223.
    [22] 刘志文,董旭柱,邹林,等.基于零序电流衰减周期分量的高阻接地故障区段定位[J].电力系统自动化,2020,44(7):161-168. LIU Zhiwen,DONG Xuzhu,ZOU Lin,et al.Section location method for high impedance grounding fault based on declining periodic component of zero sequence current[J].Automation of Electric Power Systems,2020,44(7):161-168.
    [23] 方毅,薛永端,宋华茂,等.谐振接地系统高阻接地故障暂态能量分析与选线[J].中国电机工程学报,2018,38(19):5636-5645+5921. FANG Yi,XUE Yongduan,SONG Huamao,et al.Transient energy analysis and faulty feeder identification method of high impedance fault in the resonant grounding system[J].Proceedings of the CSEE,2018,38(19):5636-5645+5921.
    [24] SAHANI M,DASH P K.FPGA-based online power quality disturbances monitoring using reduced-sample HHT and class-specific weighted RVFLN[J].IEEE Transactions on Industrial Informatics,2019,15(8):4614-4623.
    [25] 熊国良,甄灿壮,张龙,等.基于CEEMDAN多尺度排列熵的轴承故障智能识别Fisher-GG聚类方法[J].噪声与振动控制,2020,40(6):1-7+28. XIONG Guoliang,ZHEN Canzhuang,ZHANG Long,et al.Intelligent fault recognition of rolling bearings using fisher-GG clustering and CEEMDAN-based multi-scale permutation entropy[J].Noise and Vibration Control,2020,40(6):1-7+28.
    [26] 范春旸,吴守鹏,刘晓文,等.基于小波包变换与随机森林的滚动轴承故障特征分析方法[J].机械设计与制造,2020(10):59-63+70. FAN Chunyang,WU Shoupeng,LIU Xiaowen,et al.Fault feature analysis method of rolling bearing based on wavelet packet transform and random forest[J].Machinery Design & Manufacture,2020(10):59-63+70.
    [27] 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.
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李泽文,黎文娇,彭维馨,等.基于IHHT‑RF的配电网单相接地故障选线方法[J].电力科学与技术学报,2024,(1):171-182.
LI Zewen, LI Wenjiao, PENG Weixin, et al. Single‑phase‑to‑ground fault line selection method of distribution network based on IHHT‑RF[J]. Journal of Electric Power Science and Technology,2024,(1):171-182.

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