一种基于线性时频分布和二进制阈值特征矩阵的电能质量分类方法

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Abstract Extracting the characteristic information of power quality disturbances and classifying them is an important problem that should be solved by power quality monitoring system. Proposed a PQ disturbances classification method based linear time-frequency distribution (windowed Fourier transform and S-transform) and binary threshold feature matrix. Combined the advantages of WFD and ST, the method presents five features and binaries them, constitutes a binary threshold feature matrix, classifies different disturbances through comparing the magnitudes of the binary feature to the binary threshold feature matrix. Simulation results of 9 common kinds of disturbances indicate that the method has good performance of accuracy(>99%) and shows the validity and efficiency of the method.

Key words： Power quality classification windowed Fourier transform S-transform Binary threshold feature matrix

Received: 23 June 2009 Published: 07 March 2014

PACS:

TM712

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	Articles by authors
	Wang Lixia
	He Zhengyou
	Zhao Jing

Cite this article:

Wang Lixia,He Zhengyou,Zhao Jing. Power Quality Disturbance Classification Based on Linear Time-Frequency Distribution and Binary Threshold Feature Matrix[J]. Transactions of China Electrotechnical Society, 2011, 26(4): 185-191.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2011/V26/I4/185

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