| 引用本文: | 刘俊,戴本祁,王之悦.基于小波和短时傅里叶变换的电网谐波分析[J].电力系统保护与控制,2007,35(23):55-59.[点击复制] |
| LIU Jun,DAI Ben-qi,WANG Zhi-yue.Power harmonic analysis based on wavelet and STFT transform[J].Power System Protection and Control,2007,35(23):55-59[点击复制] |
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| 摘要: |
| 为了测量电网中的波动谐波，将小波变换和短时傅里叶变换方法相结合用于电网谐波分析。通过小波变换设计出一组带通滤波器来分离出基波和各次谐波，并采用短时傅立叶变换计算出基波和各次谐波的幅值、频率和相位。仿真结果表明，当信号中存在高斯白噪声时该算法仍可准确检测出基波和2到63次谐波的幅值、频率和相位，且算法简单易于实现。 |
| 关键词: 谐波分析 小波变换 短时傅立叶变换 |
| DOI：10.7667/j.issn.1674-3415.2007.23.014 |
| 投稿时间：2007-04-28修订日期：2007-07-03 |
| 基金项目: |
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| Power harmonic analysis based on wavelet and STFT transform |
| LIU Jun,DAI Ben-qi,WANG Zhi-yue |
| (School of Information Science and Engeering, East China University of Science and Technology, Shanghai 200237,China) |
| Abstract: |
| In order to detect the fluctuation harmonic in grid system, Fourier and wavelet transform are integrated and applied to power harmonic analysis in this paper. A series of Band-pass filters are designed to separate fundamental and harmonic from each other by using wavelet transform, then the amplitude, frequency and phase of fundamental and harmonic are precisely calculated by Short Time Fourier Transform (STFT). The results of simulation show that this method can accurately detect the amplitude, frequency and phase of fundamental and harmonic with its order from 2 to 63, even this signal comprises Gaussian additive white noise. This improved algorithm is simple and convenient for implementation. |
| Key words: harmonic analysis wavelet transform STFT |
