电力系统谐波检测的FFT加窗插值算法与小波分析方法的比较  被引量:10

Comparison between interpolating windwed FFT algorithm and wavelet transformer algorithm on the application of power system harmonics detection

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作  者:李益华[1] 林文南[1] 李茂军[1] 

机构地区:[1]长沙理工大学电气与信息工程学院,湖南长沙410076

出  处:《电力科学与技术学报》2007年第2期39-42,共4页Journal of Electric Power Science And Technology

基  金:湖南省自然科学基金资助项目(05JJ30106);湖南省教育厅重点科研项目(05A018)

摘  要:对电力系统谐波检测中常用的FFT加窗插值算法和小波分析算法进行了分析比较:FFT加窗插值算法具有检测精度高、实现简单、功能多且使用方便的优点,但计算量较大,因而实时性不够好;小波分析实时性好,能够获取较精确的基波信号,然而对于其他整数次谐波的幅值和相位则较难精确的获得,且难于构造分频严格、能量集中的小波,检测精度也有待改善.并通过仿真实验验证上述结论.Interpolating windowed FFT algorithm and wavelet transformer algorithm are compared theoretically in the application of power system harmonics detection in this paper. The interpolating windowed FFT algorithm can be easy to implement and convenient to use with high precision and many functions, but it needs complex calculation without real-time applicability. Whereas, wavelet transformer analysis can detect fundamental signal with high precision and real-time applicability, but it is difficult to extract the amplitudes and phases of other integer harmonic components, and to construct the mother wavelet with strict frequency division and energy concentration, its detection precision needs to be improved as well. And simulation is carried out, results are satisfied the theory comparison.

关 键 词:电力系统谐波 FFT加窗插值 小波分析 谐波检测 

分 类 号:TM711[电气工程—电力系统及自动化]

 

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