Identification of Voltage Sags Source Based on Hilbert-Huang Transform and Wavelet Packet Energy Spectrum

doi:10.11930/j.issn.1004-9649.2013.8.112.5

Abstract

Abstract: For the identification of voltage sags source, a method based on HHT and wavelet packet energy spectrum is proposed. Firstly, signals of voltage sags are decomposed by EMD to get the IMFs, then each IMF is decomposed by n-layer wavelet packet to calculate it’s energy spectrum, and the HH spectrum is acquired by HT. The voltage sags source will be identified through comparing such characteristics as mutation point, amplitude, and harmonic. The final result of this simulation proves that the method is simple and reliable, with high recognition accuracy and practicability.

Key words: voltage sags source, HHT, wavelet packet energy spectrum, identification

CLC Number:

TM714

QI Bo, ZOU Jin-hui, FAN Yu-gang, SHAO Zong-kai, WANG Xiao-dong, HUANG Guo-yong. Identification of Voltage Sags Source Based on Hilbert-Huang Transform and Wavelet Packet Energy Spectrum[J]. Electric Power, 2013, 46(8): 112-117.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2013.8.112.5

https://www.electricpower.com.cn/EN/Y2013/V46/I8/112

References

[1] COSTA F B, DRIESEN J. Assessment of voltage sag indices based on scaling and wavelet coefficient energy analysis[J]. IEEE Transactions on Power Delivery, 2012, 27(4): 1-11.
[2] 李康瑞,杨洪耕. 基于S变换标准模板相似度的电压暂降分类[J]. 电工技术学报,2010,25（12）：139-146.
LI Kang-rui, YANG Hong-geng. S-transform based classification for voltage dips according to standard template similarity[J].Transactions of China Electrotechnical Society, 2010, 25(12):139-146.
[3] LIN C H, WANG C H. Adaptive wavelet networks for power- quality detection and discrimination in a power system[J]. IEEE Transactions on Power Delivery, 2006, 21(3): 1106-1113.
[4] 楼书氢. 配电网中电压暂降的识别与定位[D]. 北京：华北电力大学,2007.
[5] 王克星,宋政湘,陈德桂,等. 基于小波变换的配电网电压暂降的干扰源辨识[J]. 中国电机工程学报,2003,23（6）：29-34.
WANG Ke-xing, SONG Zheng-xiang, CHEN De-gui, et al .Interference source identification of voltage sag in distribution system based on wavelet transform[J]. Proceeding of the CSEE,2003, 23(6): 29-34.
[6] 杨杰,王金浩,章雪萌,等. 基于小波多分辨率分析的电压暂降源定位研究[J]. 电力系统保护与控制,2010,38（22）：90-95.
YANG Jie, WANG Jin-hao, ZHANG Xue-meng, et al . Analysis of voltage sag source location based on wavelet multiresolution method[J]. Power System Protection and Control, 2010, 38(22):90-95.
[7] YAN R Q, GAO R X. A tour of the Hilbert-Huang transform:an empirical tool for signal analysis[J]. IEEE Instrumentation & Measurement Magazine, 2007, 10(5): 40-45.
[8] 常勇,张平,王聿升. 基于希尔伯特—黄变换的高压直流线路行波保护[J]. 中国电力,2011,44（11）：14-18.
CHANG Yong, ZHANG Ping, WANG Yu-sheng. HVDC traveling wave protection based on Hilbert-Huang transform[J]. Electric Power, 2011, 44(11): 14-18.
[9] 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 A, 1998, 454: 903-995.
[10] 赵臻峰,曾祥君,秦小安,等. 基于希尔伯特—黄变换的超高压输电线路行波差动保护[J]. 中国电力,2011,44（2）：10-13.
ZHAO Zhen-feng, ZENG Xiang-jun, QIN Xiao-an, et al . HHT based traveling wave differential protection used on EHV transmission line [J]. Electric Power, 2011, 44(2): 10-13.
[11] PENG Z K, TSE P W, CHU F L. A comparison study of improved Hilbert-Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing[J]. Mechanical Systems and Signal Processing, 2005, 19(5): 974-988.
[12] 丁幼亮,李爱群,邓扬. 面向结构损伤预警的小波包能量谱识别参数[J]. 东南大学学报：自然科学版,2011,41（4）：824-828.
DING You-liang, LI Ai-qun, DENG Yang. Parameters for identification of wavelet packet energy spectrum for structural damage alarming[J]. Journal of Southeast University: Natural Science Edition, 2011, 41(4): 824-828.
[13] 楼书氢,徐永海,陈思黔. 配电网中电压暂降源的检测方法比较[J]. 继电器,2006,34（15）：63-67.
LOU Shu-qing, XU Yong-hai, CHEN Si-qian. Comparison on methods for voltage sag source detection in power distribution network [J]. Relay, 2006, 34(15): 63-67.
[14] 胡鹏飞,汤何美子,李清泉,等. 近区故障瞬态恢复电压计算与分析[J]. 中国电力,2011,44（10）：21-24.
HU Peng-fei, TANG He-mei-zi, LI Qing-quan, et al . Calculation and analysis of transient recovery voltage of short line fault[J].Electric Power, 2011, 44(10): 21-24.
[15] 丁宁,蔡维,锁娟,等. 电压暂降源识别方法研究[J]. 电网技术,2008,32（S2）：55-59.
DING Ning, CAI Wei, SOU Juan, et al . Research on voltage sag sources recognition method[J]. Power System Technology, 2008, 32(S2): 55-59.
[16] 全惠敏,戴瑜兴. 电压暂降的改进S变换分析与分类[J]. 湖南大学学报：自然科学版,2011,38（3）：45-50.
QUAN Hui-min, DAI Yu-xing. Detection and classification of voltage sags based on modified S-transform[J]. Journal of Hunan University: Natural Sciences, 2011, 38(3): 45-50.
[17] 吕干云,方奇品,蔡秀姗. 基于多分类支持向量的电压暂降源识别[J]. 电力系统保护与控制,2010,38（22）：151-155.
LU Gan-yun, FANG Qi-pin, CAI Xiu-shan. Identification of voltage sags source based on multi-class support vector machine[J]. Power System Protection and Control, 2010, 38(22): 151-155.