基于新距离测度的电能质量测量数据压缩算法

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (329 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Based on periodic similarity of power quality measuring signals such as voltage, compressed power quality data have low distortion, by recording neighboring cycle with differences in measuring signals and not recording with indifferences. In this paper, on the basis of characteristics of power quality standard signal and disturbing signal, two characteristic quantities, global measurement factor and local measurement factor reflecting power quality signal differences, is proposed to construct a new distance measurement function. Then, the method to determine the measurement threshold is also studied. The test results using measured data show that proposed method distinguish differences of measuring data and compress data availably. And its calculation amount is much less than using wavelet transform or other methods.

Key words： Power quality data compression distance measurement threshold

Received: 17 September 2012 Published: 25 March 2014

PACS:

TM464

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Liu Bo
	Liu Xiaosheng
	Xu Dianguo

Cite this article:

Liu Bo,Liu Xiaosheng,Xu Dianguo. Power Quality Measuring Data Compression Based on New Distance Measurement[J]. Transactions of China Electrotechnical Society, 2013, 28(9): 129-136.

URL:

http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2013/V28/I9/129

[1] 程浩忠, 吕干云, 周荔丹. 电能质量监测与分析 [M].北京: 科学出版社, 2012: 3-14.
[2] 管春, 周雒维, 卢伟国. 基于多标签RBF神经网络的电能质量复合扰动分类方法[J]. 电工技术学报, 2011, 26 (8): 198-204.
Guan Chun, Zhou Luowei, Lu Weiguo. Recognition of multiple power quality disturbances using multi-label RBF neural networks[J]. Transactions of China Electrotechnical Society, 2011, 26(8): 198-204
[3] 李立, 易吉良, 朱建林. 采用改进不完全S变换估计电能质量扰动参数[J]. 电工技术学报, 2011, 26(6): 187-193.
Li Li, Yi Jiliang, Zhu Jianlin. Parameter estimation of power quality disturbances using modified incomplete S-transform[J]. Transactions of China Electro- technical Society, 2011, 26(6): 187-193.
[4] Lee C Y, She Y X. Optimal feature selection for power-quality disturbances classification[J]. IEEE Transactions on Power Delivery, 2011, 26(4): 2342-2351.
[5] 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, 153.
Li Kangrui, Yang Honggeng. S-transform based classification for voltage dips according to standard template similarity[J]. Transactions of China Electrotechnical Society, 2010, 25(12): 139-146, 153.
[6] Marques C A G, Ferreira D D, Freitas L R. Improved disturbance detection technique for power-quality analysis[J]. IEEE Transactions on Power Delivery, 2011, 26(2): 1286-1287.
[7] Avdakovic S, Nuhanovic A, Kusljugic M. Wavelet transform applications in power system dynamics[J]. Electric Power Systems Research, 2012, 83(1): 237-245.
[8] Rodriguez A, Aguado J A, Martin F. Rule-based classification of power quality disturbances using S-transform[J]. Electric Power Systems Research, 2012, 86: 113-121.
[9] 杜林, 戴斌, 陆国俊, 等. 基于S变换局部奇异值分解的过电压特征提取[J]. 电工技术学报, 2010, 25(12): 147-153.
Du Lin, Dai Bin, Lu Guojun, et al. Overvoltage features extraction based on S transform and local singular value decomposition[J]. Transactions of China Electrotechnical Society, 2010, 25(12): 147-153.
[10] 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.
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] 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.
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.
[12] 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.
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.
[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.
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.
[14] 乐全明, 费铭薇, 张沛超, 等. 超高压电网故障录波数据自适应压缩新方法[J]. 电力系统自动化, 2006, 30(21): 61-65.
Yue Quanming, Fei Mingwei, Zhang Peichao, et al. A novel self-adaptive algorithm for compressing fault recorded data from the EHV power network[J]. Automation of Electric Power System, 2006, 30(21): 61-65.
[15] Zhang M, Li K H, Hu Y H. A high efficient compression method for power quality applications[J]. IEEE Transactions on Instrumentation and Measurement, 2011, 60(6): 1976-1985.
[16] 周瑞, 鲍文, 于霄, 等. 基于提升小波和混合熵编码的数据压缩方法[J]. 电力系统自动化, 2007, 31(22): 65-69.
Zhou Rui, Bao Wen, Yu Xiao, et al. Data compression method based on lifting wavelet transform and hybrid entropy coding[J]. Automation of Electric Power System, 2007, 31(22): 65-69.
[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.
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.
[18] Gerek O N, Ece D G. Compression of power quality event data using 2D representation[J]. Electric Power Systems Research, 2008, 78: 1047-1052.
[19] 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.
[20] 黄南天, 徐殿国, 刘晓胜, 等. 基于模式相似性测度的电能质量数据压缩方法[J]. 电工技术学报, 2011, 26(10): 39-46, 61.
Huang Nantian, Xu Dianguo, Liu Xiaosheng, et al. Power quality data compression based on pattern similarity measurement[J]. Transactions of China Electrotechnical Society, 2011, 26(10): 39-46, 61.