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.
| Original language | English |
|---|---|
| Pages (from-to) | 193-199 |
| Number of pages | 7 |
| Journal | Diangong Jishu Xuebao/Transactions of China Electrotechnical Society |
| Volume | 25 |
| Issue number | 8 |
| State | Published - Aug 2010 |
Keywords
- Nonextension
- Power spectral density
- Power system
- Wavelet entropy
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