| 基于时域、小波变换和FFT的电能质量扰动识别 |
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| 引用本文： | 赵凤展,杨仁刚.基于时域、小波变换和FFT的电能质量扰动识别[J].电力系统保护与控制,2006,34(8):50-55. |
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| 作者姓名： | 赵凤展 杨仁刚 |
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| 作者单位： | 中国农业大学信息与电气工程学院 北京100083 |
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| 摘 要： | 利用时域均方根值电压变动特性、小波变换及FFT变换对多种电能质量扰动信号进行分层次辨识。首先根据扰动信号均方根值分布特性将扰动初步分类,随后对扰动信号多尺度小波分析,确定具体的扰动类型。对陷波和谐波应用其频谱特性进行区分。仿真试验结果表明了该方法的可行性、有效性和较强的抗噪性。
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| 关 键 词： | 扰动辨识 小波变换 均方根值 FFT 电能质量 |
| 文章编号： | 1003-4897(2006)08-0050-06 |
| 收稿时间： | 2005-08-24 |
| 修稿时间： | 2005-10-31 |
Power quality disturbances classification based on time-domain, wavelet transform and FFT |
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| ZHAO Feng-zhan,YANG Ren-gang.Power quality disturbances classification based on time-domain, wavelet transform and FFT[J].Power System Protection and Control,2006,34(8):50-55. |
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| Authors: | ZHAO Feng-zhan YANG Ren-gang |
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| Affiliation: | China Agricultural University ,Beijing 100083, China |
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| Abstract: | Using time-domain voltage-RMS,wavelet transform and FFT,various types of power quality disturbance signals are layered-recognized.At first,according to the characteristics of RMS,the disturbances are preliminary classified.Then using wavelet multi-resolution anaylsis,the disturbance type is identified.Notches and harmonics are distinguished by their frequency spectrum.The results from simulation tests show that the proposed method is feasible,effective and anti-noisy. |
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| Keywords: | disturbance recognition wavelet transform RMS FFT power quality |
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