全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用：99美元
投递稿件

查看量下载量

相关文章

更多...

基于模式相似性测度的电能质量数据压缩方法

, PP. 39-46

Keywords: 电能质量,数据压缩,模式相似性测度

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对电能质量信号中单次电能质量事件内各个周期信号相同的特点,设计一种基于模式相似性测度的电能质量信号压缩方法。首先,建立6种典型电能质量信号的数学模型,生成仿真信号进行实验,选择适合电能质量信号畸变检测的相似性测度。在判定新电能质量事件发生后,记录发生畸变的相邻两个周期的电能质量信号,并使用其中第2个周期的信号代替该次电能质量事件中的其他周期波形,从而达到压缩信号的目的。新方法可以对电能质量信号进行非降采样率的全时数据压缩。与小波等压缩方法比较,新方法的压缩与重构过程计算简单、对硬件要求低,同时避免了压缩过程中高频信号成分特征的丢失。仿真实验表明,新方法失真度低、计算时间短、压缩比高,能够满足电能质量数据压缩与分析的需要。

 References

[1]  张伯明, 孙宏斌, 吴文传, 等. 智能电网控制中心技术的未来发展[J]. 电力系统自动化, 2009, 33(17): 21-28.
[2]  Zhang Boming, Sun Hongbin, Wu Wenchuan, et al. Future development of control center technologies for smart grid [J]. Automation of Electric Power System, 2009, 33(17): 21-28.
[3]  刘云鹏, 律方成, 李燕青. 基于IFS 的局部放电超声信号的数据压缩和模式识别[J]. 电工技术学报, 2003, 18(6): 93-97.
[4]  Liu Yunpeng, Lv Fangcheng, Li Yanqing. Data compression and pattern recognition for partial discharge supersonic signal based on iterated function system[J]. Transactions of China Electrotechnical Society, 2003, 18(6): 93-97.
[5]  鲍文, 周瑞, 刘金福. 基于二维提升小波的火电厂周期性数据压缩算法[J]. 中国电机工程学报, 2007, 27(29): 96-101.
[6]  Bao Wen, Zhou Rui, Liu Jinfu. A periodical data compression method based on 2-D lifting wavelet transform in thermal power plant [J]. Proceedings of the CSEE, 2007, 27(29): 96-101.
[7]  王成山, 李鹏. 分布式发电、微网与智能配电网的发展与挑战[J]. 电力系统自动化, 2010, 34(2): 10-14, 23.
[8]  Wang Chengshan, Li Peng. Development and challenges of distributed generation, the micro2grid and smart distribution system[J]. Automation of Electric Power System, 2010, 34(2): 10-14, 23.
[9]  常康, 薛峰, 杨卫东. 中国智能电网基本特征及其技术进展评述[J]. 电力系统自动化, 2009, 33(17): 10-15.
[10]  Chang Kang, Xue Feng, Yang Weidong. Review on the basic characteristics and its technical progress of smart grid in China [J]. Automation of Electric Power System, 2009, 33(17): 10-15.
[11]  向农, 宣扬, 张俊敏. 电能质量及其数字检测方法[J]. 高电压技术, 2003, 29(4): 46-48.
[12]  Xiang Nong, Xuan Yang, Zhang Junmin. Power quality and method of digital measurement [J]. High Voltage Engineering, 2003, 29(4): 46-48.
[13]  陈小勤, 曹军军, 何正友, 等. 电力暂态信号数据采集与录波单元的研制[J]. 电力自动化设备, 2008, 28(9): 104-107.
[14]  Chen Xiaoqin, Cao Junjun, He Zhengyou, et al. Development of data acquisition and recording unit for power transient signals[J]. Electric Power Automation Equipment, 2008, 28(9): 104-107.
[15]  费铭薇, 乐全明, 张沛超, 等. 电力系统故障录波数据压缩与重构小波基选择[J]. 电力系统自动化, 2005, 29(17): 64-67, 97.
[16]  Fei Mingwei, Le Quanming, Zhang Peichao, et al. Wavelet selection of compression and reconstruction algorithm based on digital recorded data from a faulted power system[J]. Automation of Electric Power System, 2005, 29(17): 64-67, 97.
[17]  王超, 张东来, 张斌, 等. 电力系统周期性数据大比率压缩算法[J]. 电力系统自动化, 2009, 33(24): 34-37.
[18]  Wang Chao, Zhang Donglai, Zhang Bin, et al. A large ratio data compression method for power system periodical signals [J]. Automation of Electric Power System, 2009, 33(24): 34-37.
[19]  Gerek O N, Ece D G. Compression of power quality event data using 2D representation[J]. Electric Power Systems Research, 2008, (78): 1047-1052.
[20]  Gerek O N, Ece D G. 2-D analysis and compression of power-quality event data[J]. IEEE Transactions on Power Delivery, 2004, 19(2): 791-798.
[21]  孙即祥. 现代模式识别[M]. 2版. 北京: 高等教育出版社, 2008.
[22]  Ameen M Gargoom, Nesimi Ertugrul, Wen L Soong. Automatic classification and characterization of power quality events[J]. IEEE Transactions on Power Delivery, 2008, 23(4): 2417-2425.
[23]  张全明, 刘会金. 最小二乘支持向量机在电能质量扰动分类中的应用[J]. 中国电机工程学报, 2008, 28(1): 106-110.
[24]  Uyar M, Yildirim S, Gencoglu M T. An expert system based on S-transform and neural network for automatic classification of power quality disturbances[J]. Expert Systems with Applications, 2009, 36: 5962-5975.
[25]  程浩忠, 艾芊, 张志刚, 等. 电能质量[M]. 北京: 清华大学出版社, 2006.
[26]  Ramos P M, Serra A C. Comparison of frequency estimation algorithms for power quality assessment [J]. Measurement, 2009, 42: 1312-1317.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133