[1]郝 帅,范文璐,付周兴,等.基于压缩感知的小电流接地系统故障选线方法[J].西安科技大学学报,2020,(02):330-335.
 HAO Shuai,FAN Wen-lu,FU Zhou-xing,et al.Fault line selection method for small current grounding system based on compressed sensing[J].Journal of Xi'an University of Science and Technology,2020,(02):330-335.
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基于压缩感知的小电流接地系统故障选线方法(/HTML)
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西安科技大学学报[ISSN:1672-9315/CN:61-1434/N]

卷:
期数:
2020年02期
页码:
330-335
栏目:
出版日期:
2020-03-30

文章信息/Info

Title:
Fault line selection method for small current grounding system based on compressed sensing
文章编号:
1672-9315(2020)02-0330-06
作者:
郝 帅范文璐付周兴马 旭
(西安科技大学 电气与控制工程学院,陕西 西安 710054)
Author(s):
HAO ShuaiFAN Wen-luFU Zhou-xingMA Xu
(College of Electrical and Control Engineering,Xi'an University of Science and Technology,Xi'an 710054,China)
关键词:
故障选线 压缩感知 小电流接地系统 神经网络
Keywords:
fault line selection compressed sensing small current grounding system neural network
分类号:
TM 72
文献标志码:
A
摘要:
针对电力系统故障选线中存在故障信号幅值小、噪声干扰大、波形不稳定等造成故障选线不准确的问题,在压缩感知理论框架下提出了基于压缩感知的小电流接地故障选线新方法。首先,利用Simulink搭建了10 kV电压等级的小电流接地模型,在其基础上通过设置故障相,提取各条线路中的零序电流; 然后利用压缩感知算法对所提取的零序电流进行压缩,从而得到压缩零序电流特征; 接着通过调整线路参数得到大量正常线路以及故障线路中经过压缩的零序电流特征样本; 最后利用径向基神经网络构造了小电流接地故障选线模型。实验结果表明所提出的小电流接地故障选线方法不仅具有较高的精度,而且有较强的鲁棒性。
Abstract:
In order to solve the problem of inaccurate line selection due to the small amplitude of the fault signal,large noise interference and unstable waveform in the fault line selection of power system,a fault line selection method for small current grounding system based on compressed sensing is proposed under the framework of compressed sensing theory.Firstly,a small current grounding model of 10kV voltage level is built by Simulink.Zero-sequence current in each line is extracted by setting the fault phase on the basis of the built model.Then the zero-sequence current is compressed by using compressed sensing theory with the zero-sequence current characteristics of the signal compression obtained.Then,a large number of compressed zero-sequence current both in normal lines and in fault lines are obtained by adjusting the line parameters.Finally,a radial basis function neural network is used to construct a fault line selection model for small current grounding system.The experimental results show that the proposed method of fault line selection model for small current grounding system are not only higher in accuracy,but also stronger in robustness.

参考文献/References:

[1] 薛太林,张建新,侯隽朗.基于小波相关分析的小接地系统故障选线方法[J].电气自动化,2018,40(4):77-80. XUE Tai-lin,ZHANG Jian-xin,Hou Jun-lang.Fault line selection method for small grounding systems based on correlation wavelet analysis[J].Electrical Automation,2018,40(4):77-80. [2]陈少华,尹胜兰,莫 哲.基于免疫RBF网络改进小波分析的小电流接地故障选线[J].电力系统保护与控制,2012,40(3):46-50. CHEN Shao-hua,YIN Sheng-lan,MO Zhe.Fault line detection in indirectly grounding power system based on wavelet analysis improved by immune RBF network[J].Power System Protection and Control,2012,40(3):46-50. [3]JIANG Joe-Air,FAN Ping-Lin,CHEN Ching-shan.A fault detection and faulted-phase selection approach for transmission lines with Haar wavelet transform[C]//Transmission and Distribution Conference and Exposition,2003 IEEE PES.IEEE,2003:285-289. [4]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. SUN Qi-dong,ZHANG Kai-ru,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 and Instrumentation,2016,53(16):1-4. [5]王建元,张 峥,杨 爽.基于五次谐波法与改进型锁相环结合的配电网故障选线研究[J].东北电力大学学报,2018,38(3):1-7. WANG Jian-yuan,ZHANG Zheng,YANG Shuang.Research on fault line selection for distribution networks based on five times harmonic method and improved phase locked loop[J].Journal of Northeast Electric Power University,2018,38(3):1-7. [6]王 希.用于配电网单相接地故障选线的注入信号检测技术[J].山东电力技术,2015,42(8):13-17. WANG Xi.Signal injection detection technology for fault line selection of single phase to ground fault in distribution power system[J].Shandong Electric Power,2015,42(8):13-17. [7]刘渝根,王建南,马晋佩,等.结合小波包变换和5次谐波法的谐振接地系统综合故障选线方法[J].高电压技术,2015,41(5):1519-1525. LIU Yu-gen,WANG Jian-nan,MA Jin-pei,et al.Comprehensive fault line selection method for resonant grounded system combining wavelet packet transform with fifth harmonic method[J].High Voltage Engineering,2015,41(5):1519-1525. [8]杨雪莲.压缩感知理论在小电流接地故障选线中的应用[D].成都:西南交通大学,2016. YANG Xue-lian.Application of compressed sensing in fault line detection for indirectly grounding power system[D].Chengdu:Southwest Jiaotong University,2016. [9]刘兴艳,董洋洋.基于五次谐波电流变化特征的单相接地故障选线方法[J].电子质量,2010,27(3):35-37. LIU Xing-yan,DONG Yang-yang.The method of single-phase earth fault route selection based on characteristic of five subharmonic electric current change[J].Reliability Analysis,2010,27(3):35-37. [10]郝世勇,战祥新.五次谐波选线法的仿真分析[J].机电信息,2010(30):74-75. HAO Shi-yong,ZHAN Xiang-xin.Fifth harmonic line detection[J].Mechanical and Electrical Information,2010(30):74-75. [11]樊淑娴,徐丙垠,张清周.注入方波信号的经消弧线圈接地系统故障选线方法[J].电力系统自动化,2012,36(4):91-95. FAN Shu-xian,XU Bing-yin,Zhang Qing-zhou.A new method for fault line selection in distribution system with are suppression coil grounding with square-wave signal injection[J].Automation of Electric Power System,2012,36(4):91-95. [12]王建元,张 峥.基于注入信号与小波能量的小电流接地故障选线研究[J].电测与仪表,2018,55(5):28-32. WANG Jian-yuan,ZHANG Zheng.Research of fault line selection in small current grounding system based on injected signal and wavelet energy[J].Electrical Measurement & Instrumentation,2018,55(5):28-32. [13]BI Dong-jie,XIE Yong-le,LI Xi-feng,et al.A sparsity basis selection method for compressed sensing[J].IEEE Signal Processing Letters,2015,22(10):1738-1742. [14]SHAO Hai-dong,JIANG Hong-kai,ZHANG Hong-kai,et al.Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing[J].Mechanical Systems & Signal Processing,2018,100:743-765. [15]LIU Sheng-heng,ZHANG Yi-min,SHAN Tao,et al.Structure-aware bayesian compressive sensing for frequency-hopping spectrum estimation with missing observations[J].IEEE Transactions on Signal Processing,2018,66(8):2153-2166. [16]TSAI Cheng-rung,WU An-yeu.Structured random compressed channel sensing for millimeter-Wave large-Scale antenna systems[J].IEEE Transactions on Signal Processing,2018,66(19):5096-5110. [17]张 杰,毕贵红,陈仕龙,等.基于压缩感知理论的小电流接地故障选线法[J].中国电力,2013,46(12):6-11. ZHANG Jie,BI Gui-hong,CHEN Shi-long,et al.Line selection of HHT detection for small current grounding fault based on compressed sensing[J].Electric Power,2013,46(12):6-11. [18]唐 华,张明磊,杨 超.基于压缩感知的电力系统故障选线研究[J].测控技术,2018,37(6):72-75,80. TANG Hua,ZHANG Ming-lei,YANG Chao.Research on power system fault line selection based on compressed sensing[J].Measurement & Control Technology,2018,37(6):72-75,80. [19]Donoho D L.Compressed sensing[J].IEEE Transactions on Information Theory,2006,52(4):1289-1306. [20]Lee K,Wu Y,Bresler Y.Near optimal compressed sensing of sparse rank-one matrices via sparse power factorization[J].IEEE Transactions on Information Theory,2018,64(3):1666-1698. [21]薛太林,侯隽朗,张建新.基于GA优化BP神经网络小电流接地系统故障选线方法[J].电气自动化,2018,40(2):66-69. XUE Tai-lin,HOU Jun-lang,ZHANG Jian-xin.Fault line detection in low current grounding system based on GA optimized BP neural network[J].Electrical Automation,2018,40(2):66-69. [22]Rahmani B,Belkheiri M.Adaptive neural network output feedback control for flexible multi-link robotic manipulators[J].International Journal of Control,2018(2):1-35. [23]王晓卫,魏向向,侯雅晓,等.基于小波去噪与改进RBF神经网络的小电流接地系统故障选线方法[J].工矿自动化,2014,40(4):46-50. WANG Xiao-wei,WEI Xiang-xiang,HOU Ya-xiao,et al.A fault line selection method of small current grounding system bassed on wavelet de-noising and improved RBF neural network[J].Industry and Mine Automation,2014,40(4):46-50.

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备注/Memo

备注/Memo:
收稿日期:2019-09-15 责任编辑:高 佳
基金项目:国家自然科学基金(51804250); 中国博士后科学基金(2019M653874XB); 陕西省教育厅专项科研计划项目(16JK1499,18JK0512)
通信作者:付周兴(1959-),男,陕西岐山人,教授,E-mail:Fuzx@xust.edu.cn
更新日期/Last Update: 2020-03-30