基于暂态高频分量的故障投票选线方法

doi:10.16180/j.cnki.issn1007-7820.2022.07.011

Abstract

Abstract:

In view of the problems of extraction and processing of transient line selection characteristics of single-phase grounding faults in existing low-current systems, as well as line selection accuracy, this study analyzes the transient characteristics of the faults and finds that the high-frequency components of the transient zero-sequence currents of various lines have obvious differences. Accordingly, a voting line selection method based on waveform similarity of high-frequency components of transient zero sequence current is proposed. Combined with VMD algorithm and Bhattacharyya distance algorithm, the zero sequence current of each line is decomposed to obtain the transient high frequency components, and then the Bhattacharyya coefficients of the transient high frequency components among the lines are obtained. The fault line is voted by the method of preliminary voting and k-value test on the coefficient matrix. The simulation results under different fault conditions show that the method is simple and reliable, with high accuracy and credibility of line selection, wide applicability and certain anti-interference.

Key words: small current grounding system, single phase ground fault, transient zero sequence current, high frequency components, VMD, Bhattacharyya distance, waveform similarity, voting mechanis

CLC Number:

TP277

WU Jun,XIE Yifei,ZHANG Changsen. Fault Voting Method Based on Transient High Frequency Components[J].Electronic Science and Technology, 2022, 35(7): 64-70.

Figures/Tables 12

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Table 1.

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Table 5.

References 19

[1]	郭清滔, 吴田. 小电流接地系统故障选线方法综述[J]. 电力系统保护与控制, 2010, 38(2):146-152.
	Guo Qingtao, Wu Tian. Survey of the methods to select fault line in neutral point ineffectively grounded power system[J]. Power System Protection and Control, 2010, 38(2):146-152.
[2]	朱涛. 基于SCADA系统的小电流接地故障选线方法研究[J]. 电力系统保护与控制, 2019, 47(13):141-147.
	Zhu Tao. Fault line selecting method in non-solidly-earthed network based on SCADA system[J]. Power System Protection and Control, 2019, 47(13):141-147.
[3]	梁睿, 辛健, 王崇林, 等. 应用改进型有功分量法的小电流接地选线[J]. 高电压技术, 2010, 36(2):375-379.
	Liang Rui, Xin Jian, Wang Chonglin, et al. Fault line selection in small current grounding system by improved active component method[J]. High Voltage Engineering, 2010, 36(2):375-379.
[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 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 & Instrumentati, 2016, 53(16):1-4.
[5]	朱振东, 邢惠民, 刘代, 等. 基于综合Hausdorff距离的小电流接地故障选线[J]. 电测与仪表, 2019, 56(6):56-62.
	Zhu Zhendong, Xing Huimin, Liu Dai, et al. Fault line selection for small current grounding based on comprehensive Hausdorff distance[J]. Electrical Measurement & Instrumentati, 2019, 56(6):56-62.
[6]	李天友, 王超, 陈敏维, 等. 典型小电流接地故障实例及暂态选线分析[J]. 电测与仪表, 2019, 56(2):116-122.
	Li Tianyou, Wang Chao, Chen Minwei, et al. Analysis of typical earth faults example and transient feeder selection technology in the non-solidly earthed system[J]. Electrical Measurement & Instrumentati, 2019, 56(2):116-122.
[7]	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 Tailin, Zhang Jianxin, Hou Juanlang. Fault line selection method for small grounding systems based on correlation-wavelet analysis[J]. Electrical Automation, 2018, 40(4):77-80.
[8]	王磊, 曹现峰, 骆玮. 基于GA优化T-S模糊神经网络的小电流接地故障选线新方法[J]. 电测与仪表, 2016, 53(17):6-11.
	Wang Lei, Cao Xianfeng, Luo Wei. New method of fault line selection for small current grounding based on GA to optimize T-S fuzzy neural network[J]. Electrical Measurement & Instrumentati, 2016, 53(17):6-11.
[9]	柳瑾, 阮玉斌, 金涛, 等. 基于模糊理论的配电网多判据融合故障选线方法研究[J]. 电气技术, 2016(10):23-30.
	Liu Jin, Ruan Yubin, Jin Tao, et al. Research on multi-criteria fusion strategy of fault line selection in distribution network based on fuzzy theory[J]. Electrical Engineering, 2016(10):23-30.
[10]	肖开伟, 许晓平, 赵振刚, 等. 基于电力扰动信号的主动式单相接地故障定位技术[J]. 电子科技, 2018, 31(6):36-38.
	Xiao Kaiwei, Xu Xiaoping, Zhao Zhengang, et al. Active single based on power disturbance signal experimental study on fault location technology of phase[J]. Electronic Science and Technology, 2018, 31(6):36-38.
[11]	王庭华, 薛永端, 赵雪霖, 等. 不同接地电阻下消弧线圈接地系统接地故障暂态特征[J]. 电力系统及其自动化学报, 2019, 31(9):43-51.
	Wang Tinghua, Xue Yongrui, Zhao Xuelin, et al. Transient characteristics of earth fault in arc suppression coil grounded system with different grounding resistances[J]. Proceedings of the CSU-EPSA, 2019, 31(9):43-51.
[12]	苑博. 基于PRONY算法的小电流接地系统故障选线方法研究[D]. 西安: 西安工程大学, 2015.
	Yuan Bo. The study of fault line selection based on PRONY algorithm for ineffectively grounded system[D]. Xi'an: Xi'an Polytechnic University, 2015.
[13]	Dragomiretskiy K, Zosso D. Variational mode decomposition[J]. IEEE Transactions on Signal Processing, 2014, 62(3):531-544.
[14]	王伟博. 基于VMD和ELM的配电网单相接地故障选线方法研究[D]. 西安: 西安理工大学, 2019.
	Wang Weibo. Research on single-phase to ground fault line selection method of distribution network based on VMD and ELM[D]. Xi'an: Xi'an University of Technology, 2019.
[15]	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.
[16]	Choi E, Lee C. Feature extraction based on the Bhattacharyya distance[J]. Pattern Recognition, 2003, 36(8):1703-1709. doi: 10.1016/S0031-3203(03)00035-9
[17]	田红彬. 基于双边滤波和巴氏距离的红外小目标检测[J]. 核电子学与探测技术, 2014, 34(10):1159-1163.
	Tian Hongbin. Infrared small target detection based on bilateral filter and Bhattacharyya distance[J]. Nuclear Electronics & Detection Technology, 2014, 34(10):1159-1163.
[18]	翁汉琍, 陈皓, 万毅, 等. 基于Bhattacharyya距离算法的线路纵联保护新判据[J]. 电网技术, 2020, 44(2):751-760.
	Weng Hanli, Chen Hao, Wan Yi, et al. Novel criterion applicable to transmission line pilot protection based on Bhattacharyya distance algorithm[J]. Power System Technology, 2020, 44(2):751-760.
[19]	王晓卫, 吴继维, 李然月, 等. 基于Prony相对熵的故障投票选线新方法[J]. 中国电力, 2013, 46(1):59-63.
	Wang Xiaowei, Wu Jiwei, Li Ranyue, et al. A novel method of fault line selection based on voting mechanism of prony relative entropy theory[J]. Electric Power, 2013, 46(1):59-63.

系数	l₁	l₂	l₃	l₄
M₁_j	-	0.856 1	0.847 9	0.110 1
M₂_j	0.843 5	-	0.812 4	0.114 7
M₃_j	0.845 1	0.803 7	-	0.128 5
M₄_j	0.115 1	0.117 3	0.119 2	-

假设线路	min(M_ij)	初步投票结果
l₁	M₁₄	l₄
l₂	M₂₄	l₄
l₃	M₃₄	l₄
l₄	M₄₁	l₁

假设线路	初步结果	min(G)	最终结果
l₁	l₄	7.701>3	l₄
l₂	l₄	7.083>3	l₄
l₃	l₄	6.254>3	l₄
l₄	l₁	1.019<3	l₄

故障初相角/(°)	故障电阻 /Ω	假设线路	初步结果	min(G)	最终结果
30	10	l₁	l₄	7.753>3	l₄
		l₂	l₄	7.428>3	l₄
		l₃	l₄	7.372>3	l₄
		l₄	l₁	1.007<3	l₄
30	50	l₁	l₄	6.971>3	l₄
		l₂	l₄	7.316>3	l₄
		l₃	l₄	7.279>3	l₄
		l₄	l₂	1.103<3	l₄
60	10	l₁	l₄	7.907>3	l₄
		l₂	l₄	6.961>3	l₄
		l₃	l₄	7.359>3	l₄
		l₄	l₂	1.301<3	l₄
90	10	l₁	l₄	7.637>3	l₄
		l₂	l₄	7.936>3	l₄
		l₃	l₄	7.572>3	l₄
		l₄	l₂	1.273<3	l₄

选线方法	故障线路	正确率	综合正确率
小波分解法	l₁	92.31%	91.98%
	l₂	91.97%
	l₃	91.64%
	l₄	92.01%
EMD 分解法	l₁	93.42%	93.45%
	l₂	92.86%
	l₃	93.47%
	l₄	94.03%
基于暂态高频分量的投票选线法	l₁	97.62%	97.95%
	l₂	98.03%
	l₃	98.14%
	l₄	97.98%

Fault Voting Method Based on Transient High Frequency Components

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