Tsallis小波包奇异熵与功率谱分析在电力谐波检测的应用

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Abstract Aiming at the limitations of Shannon wavelet energy entropy (WEE), a novel approach to detect power harmonics, based on Tsallis wavelet packet singularity entropy (WPSE) and power spectral density (PSD) analysis, is proposed. By means of Shannon entropy theory and Mallat algorithm, the shortcomings of Shannon WEE applied to characterize complexity and frequency features of power harmonics are discussed in detail. After analyzing the relations and differences between Tsallis entropy and Shannon entropy, Nonextensive Tsallis WPSE algorithm is provided by combining Tsallis entropy with wavelet packet transform(WPT). According to the complexity of power harmonics calculated by Tsallis WPSE, the harmonics are analyzed in different time stages by PSD. The theoretical analysis and simulation results indicate that the proposed approach is valid to characterize the complexity of harmonics. In addition, the frequency and power of harmonics are measured precisely.

Key words： Power system nonextension wavelet entropy power spectral density

Received: 25 January 2010 Published: 04 March 2014

PACS:

TM711

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	Chen Jikai
	Li Haoyu
	Yang Shiyan
	Kou Baoquan

Cite this article:

Chen Jikai,Li Haoyu,Yang Shiyan等. Application of Wavelet Packet Singularity Entropy and PSD in Power Harmonics Detection[J]. Transactions of China Electrotechnical Society, 2010, 25(8): 193-199.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2010/V25/I8/193

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