基于同步挤压小波变换的电力系统时变谐波检测

doi:10.19595/j.cnki.1000-6753.tces.L70483

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (1149 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract In this paper, a new method for time-varying harmonic detection in the noisy interference background is put forward using synchrosqueezed wavelet transform (SWT). Firstly, the SWT algorithm is applied to decompose the time-varying harmonic signal mixed with noise into a series of intrinsic mode type functions (IMTs), then extracts the harmonic, the instantaneous amplitue, instantaneous frenquency and the starting and ending time of harmonic disturbance are obtained applying Hilbert transform to IMTs. The harmonic parameters are gained precisely by Hilbert transform based on the accurate mode seperation ability of SWT. The proposed SWT method has higher harmonic extration precision for multiple harmonic signals and better robustness against noise compared to traditional HHT. The simulation and real data tests show that the proposed method can extract each mode accurately in the noisy environment, and the validity of the proposed method is verified by time-varying harmonic dection.

Key words： Synchrosqueezed wavelet transform (SWT) time-varying harmonic Hilbert-Huang transform (HHT) noise harmonic detection

Received: 20 August 2016 Published: 14 September 2017

PACS:

TM71

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Yu Min
	Wang Bin
	Wang Wenbo
	Zhang Liangli
	Cheng Yongzhi

Cite this article:

Yu Min,Wang Bin,Wang Wenbo等. Power System Time-Varying Transient Harmonics Detection Based on SWT[J]. Transactions of China Electrotechnical Society, 2017, 32(增刊1): 50-57.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.L70483 OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I增刊1/50

[1] 李天云, 赵妍, 韩永强, 等. Hilbert-Huang变换方法在谐波和电压闪变检测中的应用[J]. 电网技术, 2005, 29(2): 73-77. Li Tianyun, Zhao Yan, Han Yongqiang, et al. Application of Hibert-Huang transform method in detection of harmonic and voltage flicker[J]. Power System Technology, 2005, 29(2): 73-77.
[2] 黄传金, 曹文思, 陈铁军, 等.局部均值分解在电力系统间谐波和谐波失真信号检测中的应用[J]. 电力自动化设备, 2013, 33(9): 68-73. Huang Chuanjin, Cao Wensi, Chen Tiejun, et al. Application of local mean decomposition in power quality disturbance detection[J]. Electric Power Automation Equipment, 2013, 33(9): 68-73.
[3] 黄纯, 朱智军, 曹一家, 等. 一种电网谐波与间谐波分析方[J]. 电工技术学报, 2013, 28(9): 32-39. Huang Chun, Zhu Zhijun, Cao Yijia, et al. A novel power system harmonic and interharmonic analysis method.[J]. Transactions of China Electrotechnical Society, 2013, 28(9): 32-39.
[4] 王文勇. 基于Harr小波的时变谐波检测[J]. 电力系统自动化, 2007, 31(20): 80-83. Wang Wenyong. Time-varying transient harmonics measurement based on Harr wavelet[J]. Automation of Electric Power Systems, 2007, 31(20): 80-83.
[5] 高云鹏, 腾召胜, 温和, 等. 凯塞窗插值FFT的电力谐波分析与应用[J]. 中国电机工程学报, 2010, 30(4): 43-48. Gao Yunpeng, Teng Zhaosheng, Wen He, et al. Harmonic analysis based on Kaiser window interpola- tion FFT and its application[J]. Proceedings of the CSEE, 2010, 30(4): 43-48.
[6] Sheng Z F, Xing G Z, Wei Y. The Algorithm of interpolation windowed FFT for harmonic analysis of electric power system[J]. IEEE Transactions on Power Delivery, 2001, 16(2): 160-164.
[7] 孙仲民, 何正友, 臧天磊. 一种混合卷积窗及其在谐波分析中的应用[J]. 电工技术学报, 2016, 30(16): 207-212. Sun Zhongmin, He Zhengyou, Zang Tianlei. A kind of hybrid convolution window and its application in harmonic analysis[J]. Transactions of China Elec- trotechnical Society, 2016, 30(16): 207-212.
[8] 刘华吾, 胡海兵, 邢岩. 有限字长对滑动窗DFT稳定性的影响研究[J]. 电工技术学报, 2016, 31(11): 22-31. Liu Huawu, Hu Haibing, Xing Yan. Research of finite-word-length effects on the stability of the sliding DFT[J]. Transactions of China Electrotechnical Society, 2016, 31(11): 22-31.
[9] 薛蕙, 杨仁刚. 基于小波包消噪的电能质量扰动检测方法[J]. 中国电机工程学报, 2004, 24(3): 85-90. Xue Hui, Yang Rengang. Power quality disturbance diction method using wavelet package transform based de-noising scheme[J]. Proceedings of the CSEE, 2004, 24(3): 85-90.
[10] 周林, 夏雪, 万蕴杰, 等. 基于小波变换的谐波测量方法综述[J].电工技术学报, 2006, 21(9): 67-74. Zhou Lin, Xia Xue, Wan Yunjie, et al. Harmonic detection based on wavelet transform[J]. Transactions of China Electrotechnical Society, 2006, 21(9): 67-74.
[11] 孙浩云, 牟龙华. 基于加窗小波变换的HAPF谐波检测[J].电力自动化设备, 2010, 30(11): 69-72. Sun Haoyun, Mu Longhua. HAPF harmonic detection based on windowed wavelet transform[J]. Electric Power Automation Equipment, 2010, 30(11): 69-72.
[12] 许民, 程兴民. 基于单子带重构改进小波变换的电力系统谐波检测方法[J]. 电力自动化设备, 2008, 28(9): 10-14. Xu Min, Cheng Xingmin. Harmonic detection based on wavelet transform improved by single-band reconstruction[J]. Electric Power Automation Equip- ment, 2008, 28(9): 10-14.
[13] 范小龙, 谢维成, 蒋文波, 等. 一种平稳小波变换改进阈值函数的电能质量扰动信号去噪方法[J]. 电工技术学报, 2016, 31(14): 219-226. Fan Xiaolong, Xie Weicheng, Jiang Wenbo, et al. An improved threshold function method for power quality disturbance signal de-noising based on stationary wavelet transform[J]. Transactions of China Elec- trotechnical Society, 2016, 31(14): 219-226.
[14] 李天云, 赵妍, 李楠, 等. 基于HHT的电能质量检测新方法[J]. 中国电机工程学报, 2005, 25(17): 52-56. Li Tianyun, Zhao Yan, Li Nan, et al. A new method for power quality detection based on HHT[J]. Proceedings of the CSEE, 2005, 25(17): 52-56.
[15] 张宇辉, 贺建伟, 李天云. 基于数学形态学和HHT的谐波间谐波检测方法[J]. 电网技术, 2008, 32(17): 46-51. Zhang Yuhui, He Jianwei, Li Tianyun. A new mrthod to detect harmonics and inter-harmonics based on mathematical morphology and Hilbert-Huang Trans- form[J]. Power System Technology, 2008, 32(17): 46-51.
[16] 刘德利, 曲延滨. 改进的希尔伯特-黄变换在电力谐波中的应用研究[J]. 电力系统保护与控制, 2012, 40(6): 69-73. Liu Deli, Qu Yanbin. Application of improved HHT approach to harmonic analysis in power system[J]. Power System Protection and Control, 2012, 40(6): 69-73.
[17] Afroni M J, Sutanto D, Stirling D. Analysis of nonstationary power-quality waveforms using iterative Hilbert Huang transform and SAX algorithm[J]. IEEE Transactions on Power Delivery, 2013, 28(4): 2134- 2144.
[18] Senroy N, Suryanarayanan S, Ribeiro P F. An improved Hilbert-Huang method for analysis of time- varying waveforms in power quality[J]. IEEE Transaction on Power System, 2007, 22(4): 1843- 1850.
[19] Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis[J]. Proceedings of the Royal Society of London, 1998, A454: 903-995.
[20] 吕干云, 方奇品, 蔡秀珊. 一种基于粒子群优化算法的间谐波分析方法[J]. 电工技术学报, 2009, 24(12): 156-161. Lü Ganyun, Fang Qipin, Cai Xiushan. A meathod for inter-harmonics analysis based on PSO[J]. Transactions of China Electrotechnical Society, 2009, 24(12): 156-161.
[21] Daubechies I, Lu J, Wu H T. Synchrosqueezed wavelet transforms: an empirical mode decomposition- like tool[J]. Applied and Computational Harmonic Analysis, 2011, 30(2): 243-261.
[22] Thakur G, Brevdo E, Fuckar N S, et al. Synchrosqu- eezing algotithm for time-varying spectral analysis: robustness properties and new paleoclimate applications [J]. Signal Process, 2013, 93(5): 1079-1094.
[23] Li C, Liang M. Time-frequency analysis for gearbox fault diagnosis using a generalized synchrosqueezing transform[J]. Mechanical Systems and Signal Processing, 2012, 26: 205-217.
[24] Meignen S, Oberlin T, Mclaughlin S. A new algorithm for multicomponent signal analysis based on synch- rosqueezing: with an application to signal sampling and denoising[J]. IEEE Transaction on Signal Proces- sing, 2013, 60(11): 5787-5798.
[25] 徐淑珍, 刘晓冬, 陈陈, 等. 基于局部余弦变换的电力系统时变谐波分析新方法[J]. 中国电机工程学报, 2001, 21(12): 12-15. Xu Shuzhen, Liu Xiaodong, Chen Chen, et al. A new method of time-varying harmonic analysis in power system based on local cosine transform[J]. Proceedings of the CSEE, 2001, 21(12): 12-15.
[26] 张惠娟, 汪友华, 王艳廷, 等. 基于AR模型的电力系统间谐波分析[J]. 电工技术学报, 2010, 25(7): 144-149. Zhang Huijuan, Wang Youhua, Wang Yanting, et al. Power system interharmonics analysis based on autoregression models[J]. Transactions of China Electrotechnical Society, 2010, 25(7): 144-149.