基于模式相似性测度的电能质量数据压缩方法

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Abstract Based on the pattern similarity of periodic signals in the power quality (PQ) events, a novel PQ data compression method is presented in this paper. First, 6 types of PQ event signals are simulated to evaluate the distortion detection ability of different similarity measurement. Once a new PQ event is detected, 2 following cycles of the signals are recorded, where the data compression is implemented by substituting the remaining cycles with the latter cycle of the signals. The proposed approach compresses the PQ signals without reduce the sampling rate. Compared to other compression methods such as wavelet, the compression and reconstruction process of this method is much simpler and more efficient. Moreover, the high frequency features of PQ signal are maintained after compression. Simulation experiments show that our method has low distortion rate, short computational time and high compression rate, which satisfies the requirement of real-world PQ signal compression and analysis.

Key words： Power quality data compression pattern similarity measurement

Received: 03 November 2010 Published: 07 March 2014

PACS:

TM714.3

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	Articles by authors
	Huang Nantian
	Xu Dianguo
	Liu Xiaosheng
	Lin Lin

Cite this article:

Huang Nantian,Xu Dianguo,Liu Xiaosheng等. Power Quality Data Compression Based on Pattern Similarity Measurement[J]. Transactions of China Electrotechnical Society, 2011, 26(10): 39-46.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2011/V26/I10/39

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