158 / 2021-10-29 14:34:26
An Efficient Denoising Algorithm for Power Quality Disturbance in Fractional Domain
Chirp disturbance,Denoising,Fractional Fourier transform,Optimal transform angle,Power quality
Final Paper
Rong Chen / Soochow University
Ya Yang / Soochow University
Yong Yang / Soochow University
Mingdi Fan / Soochow University
The denoising of power quality disturbance is an important subject for power quality monitoring and analysis. With the integration of nonlinear and rapid loads, power quality disturbance may present non-stationary behavior in power electronic systems. By analyzing the energy distribution of power quality disturbance, an improved denoising algorithm based on the fractional Fourier transform is proposed. Meanwhile, estimation algorithm of the optimal transform angle is also analyzed. The fourth order origin moment of fractional spectrum is employed to reduce the computational complexity. Compared to the wavelet-based method, the proposed algorithm can achieve better performance for both transient disturbance and chirp disturbance. Simulation results verify the effectiveness of the proposed algorithm.
Important Date
  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST