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Journal of ShangHai University of Electric Power :2017,33(1):60-64
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基于小波包分解的电力系统谐波检测分析
(上海电力学院 电子与信息工程学院)
Detection and Analysis of Power System Harmonics Based on Wavelet Packet Decomposition
(School of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China)
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Received:March 16, 2016    
中文摘要: 阐明了小波包分解的基本理论,说明了小波包变换对于稳态谐波信号和暂态谐波信号均具有良好的提取能力.而且小波包分解对实际系统中的谐波检测仍具有较好的检测能力,能够在时域上反映系统不同运行工况下的谐波分量变化情况.利用小波包变换的方法分别对典型的电网谐波和逆变器模型进行谐波检测,仿真结果验证了结论的正确性.
Abstract:The principle of wavelet packet decomposition is presented.The excellent harmonic extraction capability of wavelet packet decomposition in both steady harmonic and transient harmonic is introduced.Additionally,wavelet packet decomposition still has good detection ability in the real system.It can also reflect the changes in each harmonic component under different conditions of the system.The harmonics of typical power grid and inverter model are detected through wavelet packet decomposition.The simulation results prove the correctness.
文章编号:20171013     中图分类号:    文献标志码:
基金项目:上海市地方能力建设项目(14110500900).
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