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Adaptive Harmonic Detection of Active Power Filter based on Improved VMD
编号：556 访问权限：仅限参会人 更新：2022-05-22 09:40:26 浏览：198次 张贴报告

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摘要
Harmonic detection accuracy is the key factor affecting the performance of active power filter (APF). As an effective harmonic detection method, any complex signal can be adaptively decomposed into several intrinsic mode functions (IMFs) with a certain bandwidth by Variational Mode Decomposition (VMD). Aiming at the problems that VMD will be affected under the background of strong noise and the parameters are difficult to determine, an adaptive harmonic detection method based on twice VMD is proposed in this paper. Firstly, the proposed method uses VMD with a fixed decomposition layer K of 2 for denoising. Secondly, the VMD parameters are optimized from the perspective of IMF energy, and the second VMD decomposition is performed on the denoised signal. The simulation results show that, compared with EMD, EEMD and VMD, the proposed method can not only effectively reduce the fundamental extraction error, but also be suitable for aperiodic and non-stationary signals. It shows that the harmonic detection accuracy of APF can be effectively improved by this method
 
关键词
Active power filter (APF); variational mode decomposition (VMD); decomposition level; energy loss
报告人
WenjieHuang
Huaqiao University

Wenjie Huang was born in Fujian, China. He received the B.S. degree in College of Marine Engineering, Jimei University, Fujian, China, in 2020. He is currently working toward the M.S. degree in College of Information Science and Engineering, Huaqiao University, Fujian, China. He has worked on the electric drive and power conversion technology.

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重要日期

  • 会议日期

    05月27日

    2022

    至

    05月29日

    2022

  • 02月28日 2022

    初稿截稿日期

  • 05月29日 2022

    注册截止日期

  • 06月22日 2022

    报告提交截止日期

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IEEE Beijing Section
China Electrotechnical Society
Southeast University
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IEEE Industry Applications Society
IEEE Nanjing Section
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