引用本文: | 陈陈,李晓明,杨玲君,等.变分模态分解在电力系统谐波检测中的应用[J].电力系统保护与控制,2018,46(14):63-70.[点击复制] |
CHEN Chen,LI Xiaoming,YANG Lingjun,et al.Application of variational mode decomposition in power system harmonic detection[J].Power System Protection and Control,2018,46(14):63-70[点击复制] |
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摘要: |
针对电能质量分析中的谐波检测问题,将变分模态分解(VMD)应用到电力系统谐波检测中。利用VMD对信号的频带划分能力,实现各谐波模态的有效分离。对谐波信号进行频谱预分析确定VMD模态分解数,采用Hilbert变换提取各谐波模态幅值、频率等特征信息,通过基于奇异值分解的扰动定位方法对暂态谐波起止时刻与幅值变化时刻进行准确定位。不同类型谐波信号仿真实验验证了该方法的有效性,在无噪声与较低信噪比情况下均具有较高检测精度,具有良好的噪声鲁棒性。 |
关键词: 变分模态分解 Hilbert变换 模态分量 谐波检测 奇异值分解 |
DOI:10.7667/PSPC171031 |
投稿时间:2017-07-11修订日期:2017-09-19 |
基金项目:国家自然科学基金项目资助(51277134) |
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Application of variational mode decomposition in power system harmonic detection |
CHEN Chen,LI Xiaoming,YANG Lingjun,QU Hezuo,WANG Yunfei,HAO Chaochao |
(School of Electrical Engineering, Wuhan University, Wuhan 430072, China) |
Abstract: |
To solve the problem of harmonic detection in power quality analysis, Variational Mode Decomposition (VMD) is applied to harmonic detection in power system. The method uses the band division capability of VMD to separate the harmonic modes effectively. The decomposition number of VMD is determined by spectrum analysis of harmonic signal. And harmonic modes characteristic parameters such as amplitude and frequency are extracted by Hilbert transform. A method for disturbance location based on singular value decomposition is proposed, which locates the start-end time and amplitude-varying time of transient harmonic accurately. Simulation experiments of different harmonic signals verify the efficiency of the proposed method, indicating that it both has high detection accuracy under the conditions of non-noise and low Signal Noise Ratio (SNR), and has good noise robustness. This work is supported by National Natural Science Foundation of China (No. 51277134). |
Key words: variational mode decomposition Hilbert transform mode component harmonic detection singular value decomposition |