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| A 2-D Information Reordering Data Compression Methodfor Power System |
| Wang Chao1, Zhang Donglai2, Zhang Bin2, Li Yue3 |
| 1. Shenzhen Academy of Aerospace Technology Shenzhen 518057 China 2. Harbin Institute of Technology Shenzhen Graduate School Shenzhen 518055 China3. Beijing Electric Power Company Beijing 100054 China |
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Abstract A novel data compression method was developed for periodical data in power system. Based on the unbalanced nature of information in cycles and between cycles, it can eliminates the coupling of information through automatic adjustment of sampling frequency and achieve large compression ratio. In order to reduce the redundancy more efficiently, a 2 variable linear regression system is developed to predict the frequency of the power system and to realize synchronous sampling. After that, the data is compressed based on lifting wavelet decomposition method. The real-life periodical data are used to test this method. The result indicates that the proposed method can achieve better performance comparing to the method based on asynchronous sampling. For the same compression ratio, the synchronous sampling can achieve much higher signal-to-noise ratio than asynchronous sampling method.
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Received: 14 July 2009
Published: 04 March 2014
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[1] Pol Nisenblat, Mordehay Broshi, Ofir Efrati. Method of compressing values of a monitored electrical power signal: US, 7415370 B2[P]. 2008.
[2] Lee C H, Wang Y J, Huang W L．A literature survey of wavelets in power engineering applications[J]. Physical Science and Engineering, 2000, 24(4)：249-258．
[3] Santoso S, Powers E J, Grady W M．Power quality disturbance data compression using wavelet transform methods[J]．IEEE Transactions on Power Delivery, 1997, 12(3)：1250-1257．
[4] Meher S K, Pradhan A K, Panda G．An integrated data compression scheme for power quality events using spline wavelet and neural network[J]．Electric Power Systems Research, 2004, 69(2-3)：213-220．
[5] 任震, 何建军, 黄雯莹．基于小波包算法的电机故障信号的压缩和重构[J]．中国电机工程学报, 2001, 21(1)：25-29．
Ren Zheng, He Jianjun, Huang Wenying. Compre- ssion and reconstruction for faults signals of electric machines based on wavelet packets[J]. Proceedings of the CSEE, 2001, 21(1)：25-29．
[6] 何正友, 钱清泉, 刘志刚．一种基于优化小波基的电力系统故障暂态数据压缩方法[J]．中国电机工程学报, 2002, 22(6)：1-5．
He Zhengyou, Qian Qingquan, Liu Zhigang. An electric power system fault transient data compression method based on optimal wavelet[J]. Proceedings of the CSEE, 2002, 22(6)：1-5．
[7] 刘志刚, 钱清泉．基于多小波的电力系统故障暂态数据压缩研究[J]．中国电机工程学报, 2003, 23(10)：20-26．
Liu Zhigang, Qian Qiongquan. Compression of fault transient data in electric power system based on multiwavelet[J]. Proceedings of the CSEE, 2003, 23(10)：20-26.
[8] 闫常友, 杨奇逊, 刘万顺．基于提升格式的实时数据压缩和重构算法[J]．中国电机工程学报, 2005, 25(9)：6-10．
Yan Changyou, Yang Qixun, Liu Wanshun. A real-time data compression&reconstruction method based on lifting scheme[J]. Proceedings of the CSEE, 2005, 25(9)：6-10.
[9] 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.
[10] Bilgin A, Marcellin M W, Altbach M I．Compression of electrocardiogram signals using JPEG2000[J]. IEEE Transactions on Consumer Electronics, 2003, 49(4)：833-840．
[11] 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.
[12] 黄纯, 彭建春, 刘光晔, 等. 周期电气信号测量中软件同步采样方法的研究[J]. 电工技术学报, 2004, 19(1): 75-79.
Huang Chun, Peng Jianchun, Liu Guanghua, et al. Reaearch on software synchronous sampling in measurement of period electric signals[J]. Transactions of China Electrotechnical Society, 2004, 19(1): 75-79. |
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2010, Vol. 25 
