全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于S变换标准模板相似度的电压暂降分类

, PP. 139-146

Keywords: S变换,时频尺度变换,标准模板相似度,电压暂降分类

Full-Text   Cite this paper   Add to My Lib

Abstract:

提出了一种基于S变换的标准模板相似度的电压暂降分类方法。采用双线性插值尺度变换形成各类持续时间不同暂降的全局模板;提取全局模板中最能反映该类暂降特征的特定部分建立该类暂降的唯一标准模板。将未知暂降信号的模时频矩阵经尺度变换和局部化提取后的实测局部模板与标准模板做相似度对比,依据模板相似度最大原则进行分类。该方法有效利用局部区域明确的时频相关性,抗干扰能力强,解决了持续时间不同的暂降信号需建立不同模板的问题,分类过程简洁直观。Matlab仿真和实际试验结果显示,该方法在噪声情况下可准确对所考查的暂降信号进行分类,是一种有效的电压暂降分类方法。

References

[1]  Wang Kexing, Song Zhengxiang, Chen Degui, et al. Interference source identification of voltage sag in distribution system based on wavelet transform[J]. Proceedings of the CSEE, 2003, 23(6):29-34.
[2]  Gomez J C, Morcos M M. Voltage sag and recovery time in repetitive events[J]. IEEE Transactions on Power Delivery, 2002, 17(4):1037-1043.
[3]  Zhang Lidong, Bollen Math H J. Characteristic of voltage dips (sags) in power system[J]. IEEE Transactions on Power Delivery, 2000, 15(2):827-832.
[4]  Gu Irene Y H, Nichlas E, Emmanouil S, et al. A statistical-based sequential method for fast online detection of fault-induced voltage dips[J]. IEEE Transactions on Power Delivery, 2004, 19(2):497-504.
[5]  Mladen K, Liao Yuan. A new method for classification and characterization of voltage sags[J]. Electric Power Systems Research, 2001, 58(1): 27-35.
[6]  Chilukuri M V, Dash P K. Time-frequency based pattern recognition technique for detection and classification of power quality disturbances[C]. IEEE Region 10 Annual International Conference, Proceedings/TENCON C, 2004:C260-C263.
[7]  Liu Shouliang, Xiao Xianyong, Yang Honggeng. Classification of short duration power quality disturbances based on module time-frequency matrixes similarity by S-transform[J]. Power System Technology, 2006, 30(5):67-71.
[8]  楼书氢. 配电网中电压暂降源的识别与定位[D]. 北京:华北电力大学, 2007.
[9]  程浩忠, 等. 电能质量[M]. 北京:清华大学出版社, 2006.
[10]  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识别[J]. 中国电机工程学报, 2003, 23(6):29-34.
[11]  杨洪耕, 肖先勇, 刘俊勇. 电能质量问题的研究和技术进展(三)——电力系统的电压凹陷[J]. 电力系统自动化设备, 2003, 23(12): 1-4.
[12]  Yang Honggeng, Xiao Xianyong, Liu Junyong. Issues and technology assessment on power quality-Part 3: Voltage sags in power system[J]. Electric Power Automation Equipment, 2003, 23(12):1-4.
[13]  Emmanouil S, Bollen Math H J, Gu Irene Y H. Classification of power system events:voltage dips[C]. IEEE ICHQP IX, Orlando, USA, IEEE/PES, 2000:745-750.
[14]  Bollen Math H J, Emmanouil S. Characterization of three-phase unbalanced dips (as easy as one-two- three?)[C]. IEEE ICHQP IX, Orlando, USA, IEEE/PES, 2000:81-86.
[15]  刘守亮, 肖先勇, 杨洪耕. 基于 S 变换模时频矩阵相似度的短时电能质量扰动分类[J]. 电网技术, 2006, 30(5):67-71.
[16]  杨洪耕, 刘守亮, 肖先勇. 利用S变换时频等值线图与幅值包络线向量实现电压凹陷的分类[J]. 电工技术学报, 2006, 21(8):75-79.
[17]  Yang Honggeng, Liu Shouliang, Xiao Xianyong. Classification of voltage dips using time-frequency contour and amplitude envelope vectors by S-transform[J]. Transaction of China Electrotechnical Society, 2006, 21(8):75-79.
[18]  杨洪耕, 刘守亮, 肖先勇, 等. 基于S变换的电压凹陷分类专家系统[J]. 中国电机工程学报, 2007, 27(1):98-104.
[19]  Yang Honggeng, Liu Shouliang, Xiao Xianyong, et al. S-transform-based expert system for classification of voltage dips[J]. Proceedings of the CSEE, 2007, 27(1):98-104.
[20]  Emmanouil S, Bollen Math H J, Gu Irene Y H. Expert system for classification and analysis of power system events[J]. IEEE Transactions on Power Delivery, 2002, 17(2):423-428.
[21]  Emmanouil S, Bollen Math H J, Gu Irene Y H. Expert system for voltage dip classification and analysis[C]. Proc. IEEE Power Eng. Soc. Summer Meet., 2001:671-676.
[22]  占勇, 程浩忠, 丁屹峰, 等. 基于S变换的电能质量扰动支持向量机分类识别[J]. 中国电机工程学报, 2005, 25(4):51-56.
[23]  霍宏涛. 数字图像处理[M]. 北京:北京理工大学出版社, 2002.
[24]  贺家李, 宋从矩. 电力系统继电保护原理[M]. 北京:中国电力出版社, 1994.
[25]  周颚. 电机学[M]. 3版. 北京:水利电力出版社, 1995.
[26]  沈庭芝, 方子文. 数字图像处理及模式识别[M]. 北京:北京理工大学出版社, 1998.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133