TY - GEN
T1 - Complex Harmonic Detection Based on MSLD Self-multiplication-convolution Window
AU - Chen, Qianming
AU - Yang, Xi
AU - Wang, Xuming
AU - Zhang, Zhiwei
AU - Lei, Kejun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - High precision detection of complex harmonics is a very challenging task in smart grid signal processing. The interpolated discrete Fourier transform (DFT) method is widely used to accurately detect the harmonics in the power grid. However, due to the influence of spectrum leakage and fence effect, the detection accuracy of these algorithms in complex applications such as complex mulifrequency harmonics and sub/super-synchronous harmonics still needs to be improved. In this paper, a self-multiplication-convolution window function based on the maximum sidelobe decay (MSLD) window is proposed, which has more excellent sidelobe performance than the original MSLD window. In addition, to further reduce the complexity, a simple formula for four-spectral-line interpolation based on the proposed window is derived for the high accuracy estimation of harmonic parameters. Simulation experiments are carried out in different complex signals, and the results show that our method has higher detection accuracy compared with other window function interpolation algorithms.
AB - High precision detection of complex harmonics is a very challenging task in smart grid signal processing. The interpolated discrete Fourier transform (DFT) method is widely used to accurately detect the harmonics in the power grid. However, due to the influence of spectrum leakage and fence effect, the detection accuracy of these algorithms in complex applications such as complex mulifrequency harmonics and sub/super-synchronous harmonics still needs to be improved. In this paper, a self-multiplication-convolution window function based on the maximum sidelobe decay (MSLD) window is proposed, which has more excellent sidelobe performance than the original MSLD window. In addition, to further reduce the complexity, a simple formula for four-spectral-line interpolation based on the proposed window is derived for the high accuracy estimation of harmonic parameters. Simulation experiments are carried out in different complex signals, and the results show that our method has higher detection accuracy compared with other window function interpolation algorithms.
KW - complex harmonic detection
KW - four-spectral-line interpolation
KW - interpolated discrete Fourier transform
KW - maximum sidelobe decay window
KW - self-multiplication-convolution window
UR - https://www.scopus.com/pages/publications/85162727589
U2 - 10.1109/ACPEE56931.2023.10135659
DO - 10.1109/ACPEE56931.2023.10135659
M3 - 会议稿件
AN - SCOPUS:85162727589
T3 - Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023
SP - 1453
EP - 1457
BT - Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023
A2 - Lie, Tek-Tjing
A2 - Luan, Wenpeng
A2 - Liu, Youbo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023
Y2 - 14 April 2023 through 16 April 2023
ER -
