基于改进的广义谐波小波包分解和混沌振子的小电流接地系统故障选线

摘要
图/表
参考文献
相关文章 (10)

全文: PDF (732 KB)
输出: BibTeX | EndNote (RIS)

摘要小电流系统发生故障时,各线路零序电流具有非平稳、非线性等复杂特性。本文提出一种基于改进的广义谐波小波包分解算法和混沌振子检测的小电流接地系统故障选线方法。广义谐波小波包分解算法经过扩频,能进行任意频段及任意频宽的信号特征提取,且计算量小,实现信号的快速无混叠分离。Duffing振子系统不受噪声影响且对于与内驱动力同频的外界信号具有高度敏感性,对Duffing振子系统进行时标变换,可以适应不同频率信号的检测要求,通过观察相图的变化可以准确选出故障线路。数值仿真验证了该算法的准确性及可靠性。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	张淑清
	马跃
	李盼
	师荣艳
	姜万录
	董璇

关键词 ：故障选线, 改进的广义谐波小波包分解算法, 混沌振子, 时标变换, 相图变化

Abstract：As the small current grounding system fails, the zero-sequence current of each line appears complicated characteristics of non-stationary and nonlinear. A small current grounding system fault line selection method based on improved generalized harmonic wavelet packet decomposition and chaos oscillator detection algorithm is given in this paper. Through spread spectrum, the generalized harmonic wavelet packet decomposition algorithm could extract features of any frequency band and arbitrary bandwidth signal with less calculation, realizing fast and anti-aliasing separation to signals. Duffing oscillator system is unaffected by noise and presents highly sensitive to external signals which have the same frequency as the internal driving force. By time-scale transformation, Duffing oscillator could be adapted to the detection of different frequency signals. The fault line could be accurately selected by observing the changes in the system’s phase diagram. Numerical simulation showes the reliability and accuracy of the algorithm.

Key words： Fault line selection improved generalized harmonic wavelet packet decomposition algorithm chaos oscillator time scale transformation change of phase diagram

收稿日期: 2013-12-19 出版日期: 2015-04-13

PACS:

TM74

基金资助:国家自然科学基金（51475405、61077071）,河北省自然科学基金（F2011203207）和河北省高等学校科技研究重点项目（ZD2014100）资助

作者简介: 张淑清女,1966年生,博士,教授,主要研究方向为电能质量分析、故障诊断、弱信号检测、图像处理与识别等。马跃女,1988年生,硕士研究生,研究方向为电力系统故障诊断。

引用本文:

张淑清,马跃,李盼,师荣艳,姜万录,董璇. 基于改进的广义谐波小波包分解和混沌振子的小电流接地系统故障选线[J]. 电工技术学报, 2015, 30(3): 13-20. Zhang Shuqing,Ma Yue,Li Pan,Shi Rongyan,Jiang Wanlu,Dong Xuan. Application of Improved Generalized Harmonic Wavelet Packet Decomposition and Chaos Oscillator to Fault Line Detection in Small Current Grounding System. Transactions of China Electrotechnical Society, 2015, 30(3): 13-20.

链接本文:

http://dgjsxb.ces-transaction.com/CN/Y2015/V30/I3/13

[1] 贾清泉, 石磊磊, 王宁, 等. 基于证据理论和信息熵的消弧线圈接地电网融合选线方法[J]. 电工技术学报, 2012, 27(6): 191-197. Jia Qingquan, Shi Leilei, Wang Ning, et al. A fusion method for ground fault line detection in compensated power networks based on evidence theory and informa- tion entropy[J]. Transactions of China Electrotechnical Society, 2012, 27(6): 191-197.
[2] 张钧, 何正友, 贾勇. 基于S变换的故障选线新方法[J]. 中国电机工程学报, 2011, 31(10): 109-115. Zhang Jun, He Zhengyou, Jia Yong. Fault line iden- tification approach based on s-transform[J]. Proceedings of the CSEE, 2011, 31(10): 109-115.
[3] Liu J H, Liang R, Wang C L, et al. Application of fractal theory in detecting low current faults of power distribution system in coal mines[J]. Mining Science and Technology , 2009, 19(3): 321-325.
[4] 林湘宁, 高艳, 刘沛, 等. 基于零序补偿导纳的小电流接地系统单相故障保护新方法[J]. 中国电机工程学报, 2006, 26(10): 45-49. Lin Xiangning, Gao Yan, Liu Pei, et al. A novel method to identify the single phase-to-earth fault in the neutral un-effectual grounded system using the zero-sequence compensated admittance[J]. Proceedings of the CSEE, 2006, 26(10): 45-49.
[5] 董新洲, 毕见广. 配电线路暂态行波的分析和接地选线研究[J]. 中国电机工程学报, 2005, 25(4): 1-6. Dong Xinzhou, Bi Janguang. Analysis on transient traveling wave and study on fault line selection for distribution lines[J]. Proceedings of the CSEE, 2005, 25(4): 1-6.
[6] 束洪春, 彭仕欣, 李斌, 等. 基于零序电流激励的谐振接地系统故障选线测后模拟方法[J]. 电工技术学报, 2008, 23(10): 106-113. Shu Hongchun, Peng Shixin, Li Bin, et al. Simulation after detecting fault line in resonant earthed system through zero sequence current motivation[J]. Transac- tions of China Electrotechnical Society, 2008, 23(10): 106-113.
[7] 郭谋发, 刘世丹, 杨耿杰, 等. 利用时频谱相似度识别的配电线路接地选线方法[J]. 中国电机工程学报, 2013, 33(19): 1-9. Guo Moufa, Liu Shidan, Yang Gengjie, et al. A novel approach to detect fault line in distribution network using similarity recognition based on time-frequency spectrum[J]. Proceedings of the CSEE, 2013, 33(19): 1-9.
[8] 李斌, 束洪春. 基于瞬时实功率和瞬时虚功率的谐振接地系统单相接地选线新方法[J]. 电工技术学报, 2012, 27(6): 183-190. Li Bin, Shu Hongchun. A new integration method of fault line detection in resonant earthed system based on instantaneous real power and instantaneous virtual power[J]. Transactions of China Electrotechnical Society, 2012, 27(6): 183-190.
[9] 肖先勇, 张文海, 汪颖, 等. 基于故障相暂态信号特征的二维故障选线法[J]. 电网技术, 2012, 36(5): 178-184. Xiao Xianyong, Zhang Wenhai, Wang Ying, et al. Two- dimensional fault line detection based on transient signal features of fault phase[J]. Power System Tech- nology, 2012, 36(5): 178-184.
[10] Lin Xiangning, Ke Shuohao, Gao Yan, et al. A selective single-phase-to-ground fault protection for neutral uneffectively grounded systems[J]. International Journal of Electrical Power & Energy Systems, 2011, 33(4): 1012-1017.
[11] 张钧. 配电网智能故障诊断与谐波源定位研究[D]. 成都: 西南交通大学, 2012.
[12] He Z, Cai Y, Qian Q. A study of wavelet entropy theory and its application in power system[C]. Procee- dings of IEEE Conference on Intelligent Mechatronics and Automation, Chengdu, China, 2004: 847-851.
[13] Catalao J P S, Pousinho H M I, Mendes V M F. Hybrid wavelet-PSO-ANFIS approach for short-term electricity prices forecasting[J]. IEEE Transactions on Power Systems, 2011, 26(1): 137-144.
[14] 赵元喜, 胥永刚, 高立新, 等. 基于谐波小波包与BP审计网络的滚动轴承声发射模式识别技术[J]. 振动与冲击, 2010, 29(10): 162-165. Zhao Yuanxi, Xu Yonggang, Gao Lixin, et a1. Fault pattern recognition technique for roller bearing acoustic emission based on harmonic wavelet packet and BP neural network[J]. Journal of Vibration and Shock, 2010, 29(10): 162-165.
[15] 李明爱, 马建勇, 杨金福. 基于小波包和熵准则的最优频段提取方法[J]. 仪器仪表学报, 2012, 33(8): 1721-1728. Li Aiming, Ma Janyong, Yang Jinfu. Optimal frequency band extraction method based on wavelet packet and entropy criterion[J]. Chinese Journal of Scientific Instrument, 2012, 33(8): 1721-1728.
[16] Wang G, He S. A quantitative study on detection and estimation of weak signals by using chaotic Duffing oscillators[J]. IEEE Transactions on Circuits and Systems I, 2003, 50(7): 945-953.
[17] 尚秋峰, 尹成群, 李士林, 等. 基于Duffing振子的微弱正弦信号检测方法研究[J]. 中国电机工程学报, 2005, 25(2): 66-70. Shang Qiufeng, Yin Chengqun, Li Shilin, et a1. Study on detection of weak sinusoidal signal by using duffing oscillator[J]. Proceedings of the CSEE, 2005, 25(2): 66-70.
[18] Shen L, Wang P, Liu W, et al. The application of Melnikov function in weak signal detection with Duffing oscillators[C]. Proceedings of IEEE Conference on Intelligent Control and Information Processing, Harbin, China, 2011: 854-858.
[19] 张文斌, 周晓军, 林勇, 等. 基于谐波小波包方法的旋转机械故障信号提取[J]. 振动与冲击, 2009, 28(3): 87-89. Zhang Wenbin, Zhou Xiaojun, Lin Yong, et al. Harmonic wavelet package method used to extract fault signal of a rotation machinery[J]. Journal of Vibration and Shock, 2009, 28(3): 87-89.
[20] 李舜酩. 谐波小波包方法及其对转子亚频轴心轨迹的提取[J]. 机械工程学报, 2004, 40(9): 133-137. Li Shunming. Harmonic wavelet packets method and used on accurate obtaining the orbit of rotor sub- frequency signal[J]. Chinese Journal of Mechanical Engineering, 2004, 40(9): 133-137.
[21] 王玉田, 张淑清, 董璇, 等. 一种改进的广义谐波小波包分解算法及在信号特征提取中的应用[J]. 燕山大学学报, 2013, 37(4): 358-365.
Wang Yutian, Zhang Shuqing, Dong Xuan, et a1. An improved generalized harmonic wavelet packet algorithm and its application in signal feature extrac- tion[J]. Journal of Yanshan University, 2013, 37(4): 358-365.
[22] 姜万录, 张淑清, 王益群. 基于混沌和小波的故障信息诊断[M]. 北京: 国防工业出版社, 2005.
[23] 赖志慧, 冷永刚, 孙建桥, 等. 基于Duffing振子的变尺度微弱特征信号检测方法研究[J]. 物理学报, 2012, 61(5): 60-68.
Lai Zhihui, Leng Yonggang, Sun Jianqiao, et a1. Weak characteristic signal detection based on scale transformation of Duffing oscillator[J]. Acta Phys. Sin, 2012, 61(5): 60-68.