快速小波熵输电系统暂态信号特征提取研究

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Abstract The features of transient signals in power system can be extracted using Shannon wavelet energy entropy(WEE), but some deficiencies exist in the accuracy of feature extraction, anti-jamming ability and computing speed. Aiming at the shortages of Shannon WEE, Fast WEE algorithm is proposed by combining Tsallis entropy with lifting-scheme-based interpolating wavelet and implemented to extract features of transient signals in transmission line. Taking complexity statistics of three-level system as an example, the relationship between Tsallis entropy and Shannon entropy is discussed by analysis of nonextension-statistical characteristics with different values of nonextension index q. By Tsallis entropy and lifting-scheme-based interpolating wavelet instead of traditional wavelet using Mallat algorithm, fast WEE algorithm is constructed and analysed theoretically. Taking transient voltages as research objects, which is caused by single-phase grounding and lightning, the effect of transient feature extraction and computing speed are tested. Theoretical analysis and experiment results show that in comparison with Shannon WEE the new algorithm can ensure the accuracy of feature extraction for transient signals of transmission line and restrain wavelet aliasing and noise, but its computing time is partially reduced.

Key words： Transmission line lifting wavelet transient feature extraction fast wavelet entropy

Received: 09 October 2011 Published: 20 March 2014

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TM711

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	Chen Jikai
	Zhou Zhiyu
	Li Haoyu
	Xu Bingliang

Cite this article:

Chen Jikai,Zhou Zhiyu,Li Haoyu等. Study of Fast Wavelet Entropy’s Application in Feature Extraction of Transient Signals in Transmission Line[J]. Transactions of China Electrotechnical Society, 2012, 27(12): 219-225.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2012/V27/I12/219

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