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
终稿
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.
重要日期
  • 会议日期

    07月11日

    2023

    08月18日

    2023

  • 11月10日 2021

    初稿截稿日期

  • 12月10日 2021

    注册截止日期

  • 12月11日 2021

    报告提交截止日期

主办单位
IEEE IAS
承办单位
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
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询