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| 摘要: |
| 正确提取电力信号的谐波分量是提高供电质量的前提，根据电力信号主要分量为周期信号的特点，将离散周期正交小波变换应用于暂态谐波信号分量的提取，形成了快速简捷的分解及重构算法，经算例验证，这种方法在提取暂态谐波分量时较傅里叶变换具有更好的时频分辨率，分析表明，合适的小波基及符合实际情况的代价函数是确定最优分解二叉树的关键，从而能够极大地提高计算速度和分解精度。 |
| 关键词: 电力系统 谐波 快速算法 小波变换 电能质量 信号分析 傅里叶变换 |
| DOI： |
| 分类号:TM744 |
| 基金项目: |
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| Fast algorithm for power harmonic component decomposition |
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SHAO Zhen-guo 1 2 DU Jun 2
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| Abstract: |
| Exactly decomposing the harmonic component is th e precondition to improve the quality of distribution system.As the main components of power signals are periodical,a fast algorithm fo r the decomposition and reconfiguration of transient harmonic signal component s is presented,which applies periodical discrete wavelet transform.The calculational results show that wavelet transform has better time-frequency characteristic than Fourier transform in the analysis of transient harmonic signal.Analysis indicates that the appropriate wavelet and practical cost function is the key in obtaining the optimum decomposition tree to greatly improve the computation speed and decompo-sition precision. |
| Key words: wavelet analysis,electric energy quality,signal analysis |
