基于相空间重构与平均电导特征的配电网单相接地故障辨识
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摘要
配电网接地故障类型辨识可为故障巡线提供指导,缩短故障巡线时间。针对10 kV配电网线路的不同接地故障类型,提出基于相空间重构与平均电导特征的配电网线路故障辨识方法。通过试验采集配电网中典型接地故障的波形。针对不同介质接地故障零序电流中电弧特征,对零序电流进行相空间重构得到相平面轨迹图,计算信息维数以及吸引子面积特征,依据特征识别量将故障区分为可靠接地故障和不可靠接地故障。进一步通过计算各类型故障平均电导作为故障辨识判据,将故障区分为不同类型。试验结果表明所提方法能够有效辨识不同介质接地故障类型。
Grounding fault type identification of distribution network can provide guidance for fault line inspection and shorten the time of fault line inspection. Aiming at different grounding fault types of 10 kV distribution network lines, a fault identification method based on phase-space reconstruction and average conductance characteristics is proposed. According to the arc characteristics of zero sequence current in different dielectric grounding faults, the phase plane trajectory is reconstructed by phase-space reconstruction. The information dimension and attractor area characteristics are calculated. The faults are divided into reliable grounding faults and unreliable grounding faults according to the feature recognition quantity. Furthermore, by calculating the average conductance of various types of faults as the criterion of fault identification, the faults can be divided into different types of faults. The test results show that the proposed method can effectively identify the types of grounding faults in different media.
Grounding fault type identification of distribution network can provide guidance for fault line inspection and shorten the time of fault line inspection. Aiming at different grounding fault types of 10 kV distribution network lines, a fault identification method based on phase-space reconstruction and average conductance characteristics is proposed. According to the arc characteristics of zero sequence current in different dielectric grounding faults, the phase plane trajectory is reconstructed by phase-space reconstruction. The information dimension and attractor area characteristics are calculated. The faults are divided into reliable grounding faults and unreliable grounding faults according to the feature recognition quantity. Furthermore, by calculating the average conductance of various types of faults as the criterion of fault identification, the faults can be divided into different types of faults. The test results show that the proposed method can effectively identify the types of grounding faults in different media.
引文
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[15] 宋晓,李平,徐公林.基于相空间重构的变压器励磁涌流识别[J].电力系统保护与控制,2012,40(5):27-31.SONG Xiao, LI Ping, XU Gonglin. Transformer excitation inrush current recognition based on the phase space reconstruction[J]. Power System Protection and Control, 2012, 40(5): 27-31.
[16] 聂振华.基于重构相空间的结构损伤检测方法及可视化研究[D].广州:暨南大学,2012.NIE Zhenhua. Structural damage detection based on reconstructed phase space and the visualization of damage information[D]. Guangzhou: Jinan University, 2012.
[17] 许高峰.全封闭组合电器局部放电信号内置传感检测和分形特征提取的研究[D].重庆:重庆大学,2003.XU Gaofeng. Study on detection of partial discharge in gas insulated substation by inner-sensing method and fractal feature extraction[D]. Chongqing: Chongqing University, 2003.
[18] 孙博玲.分形维数(Fractal dimension)及其测量方法[J].东北林业大学学报,2004,32(3):116-119.SUN Boling. Fractal dimension and its metrical methods [J]. Journal of Northeast Forestry University, 2004, 32(3): 116-119.
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[2] 李振兴,吴李群,田斌,等.采用区域电网多点测量信息的行波故障定位[J].电力系统自动化,2017,41(8):146-152.DOI:10.7500/AEPS20160414009.LI Zhenxing, WU Liqun, TIAN Bin, et al. Traveling wave fault location using multi-point measurement information of regional power grid[J]. Automation of Electric Power Systems, 2017, 41(8): 146-152. DOI: 10.7500/AEPS20160414009.
[3] 杨帆,金鑫,沈煜,等.小电流接地故障多层次分类及其识别模型[J].电力系统自动化,2018,42(15):186-191.DOI:10.7500/AEPS20171227009. YANG Fan, JIN Xin, SHEN Yu, et al. Multilevel classification and identification model for earth faults in non-solidly earthed network[J]. Automation of Electric Power Systems, 2018, 42(15): 186-191. DOI: 10.7500/AEPS20171227009.
[4] 黄戬.输电线路故障类型辨识研究[D].广州:华南理工大学,2014.HUANG Jian. Research on fault type identification of transmission line[D]. Guangzhou: South China University of Technology, 2014.
[5] 郭宁明,郭宗仁.基于小波变换的输电线路雷击识别[J].中南大学学报(自然科学版),2007,38(增刊1):960-966.GUO Ningming, GUO Zongren. Identification of lighting strikes on transmission lines based on wavelets transform[J]. Journal of Central South University (Science and Technology), 2007, 38(Supplement 1): 960-966.
[6] 代杰杰,刘亚东,姜文娟,等.基于雷电行波时域特征的输电线路雷击类型辨识方法[J].电工技术学报,2016,31(6):242-250.DAI Jiejie, LIU Yadong, JIANG Wenjuan, et al. Identification of back striking and shielding failure on transmission line based on time domain characteristics of traveling wave[J]. Transactions of China Electrotechnical Society, 2016, 31(6): 242-250.
[7] CHOW M Y, TAYLOR L S. Analysis and prevention of animal-caused faults in power distribution systems[J]. IEEE Transactions on Power Delivery, 1995, 10(2): 995-1001.
[8] KULKARNI S, LEE D, ALLEN A J, et al. Waveform characterization of animal contact, tree contact, and lightning induced faults[C]// IEEE PES General Meeting, July 25-29, 2010, Providence, USA: 1-7.
[9] 秦雪,刘亚东,孙鹏,等.基于故障波形时频特征配网故障识别方法研究[J].仪器仪表学报,2017,38(1):41-49.QIN Xue, LIU Yadong, SUN Peng, et al. Study on the line fault root-cause identification method in distribution networks based on time-frequency characteristics of fault waveforms[J]. Chinese Journal of Scientific Instrument, 2017, 38(1): 41-49.
[10] 李震球,王时胜,吴丽娜.一种谐振接地系统电弧高阻接地故障选线新方法及仿真[J].电力系统保护与控制,2014,42(17): 44-49.LI Zhenqiu, WANG Shisheng, WU Lina. A new method and simulation for arcing high-impedance-grounding fault line selection in resonant grounded system[J]. Power System Protection and Control, 2014, 42(17): 44-49.
[11] 肖方红,阎桂荣,韩宇航.混沌时序相空间重构参数确定的信息论方法[J].物理学报,2005,54(2):550-556.XIAO Fanghong, YAN Guirong, HAN Yuhang. Information theory approach to determine embedding parameters for phase space reconstruction of chaotic time series[J]. Acta Physica Sinica, 2005, 54(2): 550-556.
[12] JI T Y, LU Z, TANG W H, et al. Disturbance detection in the phase space through GK clustering[C]// International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, April 6-9, 2008, Nanjing, China: 2328-2332.
[13] 李智勇,吴为麟,林震宇.基于相空间重构和支持向量机的电能扰动分类方法[J].电力系统自动化,2007,31(5):70-75.LI Zhiyong, WU Weilin, LIN Zhenyu. A power disturbance classification method based on phase space reconstruction and support vector machine[J]. Automation of Electric Power Systems, 2007, 31(5): 70-75.
[14] 孙才新,许高峰,唐炬,等.以盒维数和信息维数为识别特征量的GIS局部放电模式识别方法[J].中国电机工程学报,2005,25(3):102-106.SUN Caixin, XU Gaofeng, TANG Ju, et al. PD pattern recognition method using box dimension and information dimension as discriminating features in GIS[J]. Proceedings of the CSEE, 2005, 25(3): 102-106.
[15] 宋晓,李平,徐公林.基于相空间重构的变压器励磁涌流识别[J].电力系统保护与控制,2012,40(5):27-31.SONG Xiao, LI Ping, XU Gonglin. Transformer excitation inrush current recognition based on the phase space reconstruction[J]. Power System Protection and Control, 2012, 40(5): 27-31.
[16] 聂振华.基于重构相空间的结构损伤检测方法及可视化研究[D].广州:暨南大学,2012.NIE Zhenhua. Structural damage detection based on reconstructed phase space and the visualization of damage information[D]. Guangzhou: Jinan University, 2012.
[17] 许高峰.全封闭组合电器局部放电信号内置传感检测和分形特征提取的研究[D].重庆:重庆大学,2003.XU Gaofeng. Study on detection of partial discharge in gas insulated substation by inner-sensing method and fractal feature extraction[D]. Chongqing: Chongqing University, 2003.
[18] 孙博玲.分形维数(Fractal dimension)及其测量方法[J].东北林业大学学报,2004,32(3):116-119.SUN Boling. Fractal dimension and its metrical methods [J]. Journal of Northeast Forestry University, 2004, 32(3): 116-119.
[19] IEEE guide for measuring earth resistivity, ground impedance, and earth surface potentials of a ground system: IEEE Std 81—1983[S]. 1983.
[20] 祝应宏,段伟强.电力勘察中土壤电阻率测试分析研究[J].工程勘察,2011(12):82-85.ZHU Yinghong, DUAN Weiqiang. Study on testing analysis of soil resistivity in power engineering investigation[J]. Geotechnical Investigation & Surveying, 2011(12): 82-85.
[21] 交流电气装置的接地:DLT 621—1997[S].1997.Grounding of AC electrical equipment: DLT 621—1997[S]. 1997.
[22] 马少华,鲍洁秋,蔡志远,等.基于信息维数和零休时间的电弧故障识别方法[J].中国电机工程学报,2016,36(9):2572-2579.MA Shaohua, BAO Jieqiu, CAI Zhiyuan, et al. A novel arc fault identification method based on information dimension and current zero[J]. Proceedings of the CSEE, 2016, 36(9): 2572-2579.