Complex Harmonic Detection Based on MSLD Self-multiplication-convolution Window

Qianming Chen; Xi Yang; Xuming Wang; Zhiwei Zhang; Kejun Lei

doi:10.1109/ACPEE56931.2023.10135659

Complex Harmonic Detection Based on MSLD Self-multiplication-convolution Window

Qianming Chen
, Xi Yang
, Xuming Wang
, Zhiwei Zhang
, Kejun Lei^*

^*Corresponding author for this work

Jishou University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023
Editors	Tek-Tjing Lie, Wenpeng Luan, Youbo Liu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1453-1457
Number of pages	5
ISBN (Electronic)	9798350345520
DOIs	https://doi.org/10.1109/ACPEE56931.2023.10135659
State	Published - 2023
Externally published	Yes
Event	8th Asia Conference on Power and Electrical Engineering, ACPEE 2023 - Tianjin, China Duration: 14 Apr 2023 → 16 Apr 2023

Publication series

Name	Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023

Conference

Conference	8th Asia Conference on Power and Electrical Engineering, ACPEE 2023
Country/Territory	China
City	Tianjin
Period	14/04/23 → 16/04/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

complex harmonic detection
four-spectral-line interpolation
interpolated discrete Fourier transform
maximum sidelobe decay window
self-multiplication-convolution window

Access to Document

10.1109/ACPEE56931.2023.10135659

Cite this

Chen, Q., Yang, X., Wang, X., Zhang, Z., & Lei, K. (2023). Complex Harmonic Detection Based on MSLD Self-multiplication-convolution Window. In T.-T. Lie, W. Luan, & Y. Liu (Eds.), Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023 (pp. 1453-1457). (Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACPEE56931.2023.10135659

Chen, Qianming ; Yang, Xi ; Wang, Xuming et al. / Complex Harmonic Detection Based on MSLD Self-multiplication-convolution Window. Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023. editor / Tek-Tjing Lie ; Wenpeng Luan ; Youbo Liu. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1453-1457 (Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023).

@inproceedings{fe87fd294e864ceea49176a7ddca0fb3,

title = "Complex Harmonic Detection Based on MSLD Self-multiplication-convolution Window",

abstract = "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.",

keywords = "complex harmonic detection, four-spectral-line interpolation, interpolated discrete Fourier transform, maximum sidelobe decay window, self-multiplication-convolution window",

author = "Qianming Chen and Xi Yang and Xuming Wang and Zhiwei Zhang and Kejun Lei",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023 ; Conference date: 14-04-2023 Through 16-04-2023",

year = "2023",

doi = "10.1109/ACPEE56931.2023.10135659",

language = "英语",

series = "Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1453--1457",

editor = "Tek-Tjing Lie and Wenpeng Luan and Youbo Liu",

booktitle = "Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023",

address = "美国",

}

Chen, Q, Yang, X, Wang, X, Zhang, Z & Lei, K 2023, Complex Harmonic Detection Based on MSLD Self-multiplication-convolution Window. in T-T Lie, W Luan & Y Liu (eds), Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023. Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1453-1457, 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023, Tianjin, China, 14/04/23. https://doi.org/10.1109/ACPEE56931.2023.10135659

Complex Harmonic Detection Based on MSLD Self-multiplication-convolution Window. / Chen, Qianming; Yang, Xi; Wang, Xuming et al.
Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023. ed. / Tek-Tjing Lie; Wenpeng Luan; Youbo Liu. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1453-1457 (Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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 -

Chen Q, Yang X, Wang X, Zhang Z, Lei K. Complex Harmonic Detection Based on MSLD Self-multiplication-convolution Window. In Lie TT, Luan W, Liu Y, editors, Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1453-1457. (Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023). doi: 10.1109/ACPEE56931.2023.10135659

Complex Harmonic Detection Based on MSLD Self-multiplication-convolution Window

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this