基于改进Hilbert-Huang变换算法的电气化铁路谐波检测

摘要/Abstract

摘要：

通过对电力机车负载电流进行仿真建模，得到电力机车在不同工况下的电流波形；使用改进的Hilbert-Huang变换算法对电流波形进行谐波检测；采用限制带宽经验模态分解算法对原始电流波形进行分解；通过引入屏蔽信号来控制本征模态函数的带宽，以有效抑制模态混叠.结果表明，所提出的改进Hilbert-Huang变换算法能够有效检测电气化铁路负载电流中各次谐波随时间变化的特征.

关键词: , Hilbert-Huang变换算法；限制带宽；经验模态分解算法；电气化铁路；谐波检测

Abstract:

Electrified railway is one of the major harmonic sources in the power system, which is greatly affected by the route and weather. So, precise detection of electrified railway power load harmonic is of great important for the safety of power grid. A math mode of electric locomotive was built in this paper, from which the load current of the railway under different conditions was acquired. An improved HilbertHuang transform was applied to extract the harmonic of the current waveform in which bandwidth restricted empirical mode decomposition (EMD) method was used. By adding masking signal, the mode mixing could be restrained effectively. The simulation results show that the proposed method can extract the time-frequency distribution of the harmonics in electrified railway, which provides a new method for harmonic detection of electrified railway.

Key words: Hilbert-Huang transform (HHT) method, bandwidth restricted, empirical mode decomposition (EMD) method, electrified railway, harmonic detection

中图分类号:

TM 732

耿超1，王丰华1，黄荣辉2，张君1，张欣2，冯琳1. 基于改进Hilbert-Huang变换算法的电气化铁路谐波检测[J]. 上海交通大学学报（自然版）, 2014, 48(09): 1225-1230.

GENG Chao1,WANG Fenghua1,HUANG Ronghui2,ZHANG Jun1,ZHANG Xin2,FENG Lin1. Harmonic Detection of Electrified Railway Based on Improved HilbertHuang Transform Method[J]. Journal of Shanghai Jiaotong University, 2014, 48(09): 1225-1230.

参考文献

［1］孙娟. 电气化铁路电能质量问题及其治理方案研究［D］. 长沙：湖南大学电气与信息工程学院, 2012.

［2］董祥, 李群湛, 黄军, 等．适用于电气化铁路的无功谐波电流检测方法研究［J］. 电力系统保护与控制, 2009, 37(6)： 3235．

DONG Xiang, LI Qunzhan, HUANG Jun, et al. Detecting methods of reactive power and harmonic current in electrified railway systems［J］. Power System Protection and Control, 2009, 37(6): 3235．

［3］黄方能, 黄成军, 陈陈, 等. 高精度插值FFT谐波分析［J］. 电力自动化设备, 2007, 27(9): 4043．

HUANG Fangneng, HUANG Chengjun, CHEN Chen, et al. Improved high precision interpolating FFT for harmonic analysis［J］. Electric Power Automation Equipment, 2007, 27(9): 4043.

［4］魏磊，张伏生，耿中行，等．基于瞬时无功功率理论的电能质量扰动检测、定位与分类方法［J］．电网技术，2004，28(6)：5358．

WEI Lei，ZHANG Fusheng，GENG Zhongxing，et al．Detection localization and identification of power quality disturbance based on instantaneous reactive power theory［J］． Power System Technology, 2004, 28(6)： 5358．

［5］周林, 甘元兴, 雷鹏, 等. 基于瞬时无功功率理论的谐波检测新方法［J］．高电压技术, 2005, 31(10)： 6769.

ZHOU Lin, GAN Yuanxing, LEI Peng, et al．Novel harmonic detecting method based on the instantaneous reactive power theory［J］. High Voltage Engineering, 2005, 31(10): 6769.

［6］丁屹峰，程浩忠，孙毅斌，等. 基于小波变换和Prony算法的间谐波参数辨识［J］. 上海交通大学学报, 2005, 39（12）： 20832087.

DING Yifeng, CHENG Haozhong, SUN Yibin, et al. The parameter identification of interharmonics based on wavelet transform and Prony algorithm ［J］. Journal of Shanghai Jiaotong University, 2005, 39(12): 20832087.(下转第1238页)第48卷第9期2014年9月上海交通大学学报JOURNAL OF SHANGHAI JIAO TONG UNIVERSITYVol.48 No.9Sep. 2014

［7］郭成，李群湛，贺建闽，等．电网谐波与间谐波检测的分段Prony算法［J］．电网技术, 2010, 34(3): 2125．

GUO Cheng，LI Qunzhan，HE Jianmin，et al．Segmentation Prony algorithm on harmonics and interharmonics detection of power networks［J］. Power System Technology, 2010, 34(3): 2125．

［8］赵成勇，何明锋. 基于复小波变换相位信息的谐波检测算法［J］．中国电机工程学报，2005，25(1)：3842．

ZHAO Chengyong，HE Mingfeng．A novel method for harmonics measurement using phase information of complex wavelet transform［J］．Proceedings of the CSEE, 2005, 25(1): 3842．

［9］杜天军，陈光，雷勇．基于混叠补偿小波变换的电力系统谐波检测方法［J］. 中国电机工程学报, 2005, 25(3): 5459．

DU Tianjun, CHEN Guang, LEI Yong. A novel method for power system harmonic detection based on wavelet transform with aliasing compensation［J］．Proceedings of the CSEE, 2005, 25(3): 5459．

［10］苏玉香，刘志刚，李科亮, 等．HilbertHuang变换在电气化铁路谐波检测中的应用［J］. 电网技术, 2008, 32(18): 3035.

SU Yuxiang, LIU Zhigang, LI Keliang, et al. Application of HilbertHuang transform in harmonic detection of electrified railway ［J］. Power System Technology, 2008, 32(18): 3035.

［11］Huang N E， Shen Z， Long S R， et al．The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis［J］．Proceedings of the Royal Society of London Series A，1998， 45(4)： 903995．

［12］Deering R, Kaiser J F. The use of a masking signal to improve empirical mode decomposition ［C］ ∥IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005. NJ, USA: IEEE Press, 2005: 485488.

［13］张有松，朱龙驹．韶山4型电力机车［M］. 北京: 中国铁道出版社, 1998.

［14］郑炅．电铁接入电网仿真及电能质量分析［D］. 杭州: 浙江大学电气工程学院, 2011.第48卷第9期2014年9月上海交通大学学报JOURNAL OF SHANGHAI JIAO TONG UNIVERSITYVol.48 No.9Sep. 2014

[1]	王聚团, 戚晓宁, 黄志明. 水下生产管汇测试技术及其改进研究[J]. 海洋工程装备与技术, 2022, 9(2): 43-49.
[2]	袁振钦, 邹科, 孙亚峰, 刘刚, 屈衍, 李居跃. 基于时域分析法的动态电缆疲劳分析[J]. 海洋工程装备与技术, 2022, 9(2): 50-55.
[3]	王娟, 杨明旺, 郑茂尧, 刘凌云, 赵立君. 高强钢在大型半潜式平台组块建造中的应用[J]. 海洋工程装备与技术, 2022, 9(1): 27-31.
[4]	陈欣, 赵晓磊, 王立坤, 肖德明, 张腾月. 深水大型吸力锚建造技术研究[J]. 海洋工程装备与技术, 2022, 9(1): 32-36.
[5]	尹彦坤, 易涤非. 半潜式生产平台船体结构关键节点工程临界评估[J]. 海洋工程装备与技术, 2022, 9(1): 52-57.
[6]	MA Qunsheng (马群圣), CEN Xingxing (岑星星), YUAN Junyi (袁骏毅), HOU Xumin (侯旭敏). Word Embedding Bootstrapped Deep Active Learning Method to Information Extraction on Chinese Electronic Medical Record[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(4): 494-502.
[7]	ZHANG Shengfa (张胜发), TANG Na (唐纳), SHEN Guofeng (沈国峰), WANG Han (王悍), QIAO Shan (乔杉). Universal Software Architecture of Magnetic Resonance-Guided Focused Ultrasound Surgery System and Experimental Study[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(4): 471-481.
[8]	安庆升, 孙立东, 武秋生. 碳纤维增强复合材料发射筒设计研究[J]. 空天防御, 2021, 4(2): 13-.
[9]	KONG Xiangqiang (孔祥强), MENG Xiangxi (孟祥熙), LI Jianbo (李见波), SHANG Yanping (尚燕平), CUI Fulin (崔福林) . Comparative Study on Two-Stage Absorption Refrigeration Systems with Different Working Pairs[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(2): 155-162.
[10]	ZHUANG Weimin (庄蔚敏), WANG Pengyue (王鹏跃), AO Wenhong (熬文宏), CHEN Gang (陈刚) . Experiment and Simulation of Impact Response of Woven CFRP Laminates with Different Stacking Angles[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(2): 218-230.
[11]	ZHOU Xuhui (周旭辉), ZHANG Wenguang (张文光), XIE Jie (谢颉). Effects of Micro-Milling and Laser Engraving on Processing Quality and Implantation Mechanics of PEG-Dexamethasone Coated Neural Probe[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(1): 1-9.
[12]	HUANG Ningning (黄宁宁), MA Yixin (马艺馨), ZHANG Mingzhu (张明珠), GE Hao (葛浩), WU Huawei (吴华伟). Finite Element Modeling of Human Thorax Based on MRI Images for EIT Image Reconstruction[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(1): 33-39.
[13]	WANG Xianjin, GAO Xu, YU Kuigang . Fixture Locating Modelling and Optimization Research of Aluminum Alloy Sidewall in a High-Speed Train Body[J]. J Shanghai Jiaotong Univ Sci, 2020, 25(6): 706-713.
[14]	QIAO Xing, MA Dan, YAO Xuliang, FENG Baolin. Stability and Numerical Analysis of a Standby System[J]. J Shanghai Jiaotong Univ Sci, 2020, 25(6): 769-778.
[15]	WU Jin, MIN Yu, YANG Xiaodie, MA Simin . Micro-Expression Recognition Algorithm Based on Information Entropy Feature[J]. Journal of Shanghai Jiao Tong University(Science), 2020, 25(5): 589-599.