research-article

An Effective Harmonic Parameters Estimation Algorithm Based on Transformed FFT Sequence

Authors:

Xuming Wang,

Kejun Lei,

Xi Yang,

Xiangming WangAuthors Info & Claims

ICITEE '19: Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering

Article No.: 63, Pages 1 - 5

https://doi.org/10.1145/3386415.3387010

Published: 30 May 2020 Publication History

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Abstract

In the practical harmonic analysis, the classical windowed interpolation methods usually have low estimation accuracy and high implementation complexity. Based on the analysis of attenuation characteristics of the fast Fourier transform (FFT) sequence, a novel harmonic analysis method with high precision by using a simple transformation is introduced. Our algorithm performs a simple transformation on the original FFT sequence, which reduces the interference among different spectral lines, and thus effectively suppresses the spectrum leakage. Based on this, the estimation formulas for the amplitude and phase are derived. The simulation results show that the proposed algorithm can effectively improve the accuracy of parameter estimation. In addition, compared with the classical windowed interpolation methods, the new method has lower computation complexity.

References

[1]

A. Medina, J. Segundo-Ramirez, P. Ribeiro, W. Xu, K.L. Lian, G.W. Chang, et al (2013). Harmonic analysis in frequency and time domain. IEEE Transactions on Power Delivery, 28(3), 1813--1821.

Crossref

Google Scholar

[2]

Zhikang Shuai, Wen Huang, Chao Shen, Jun Ge and Z. John Shen (2017). Characteristics and restraining method of fast transient inrush fault currents in synchronverters. IEEE Transactions on Industrial Electronics, 64(9), 7487--7497.

Crossref

Google Scholar

[3]

He Wen, Zhaosheng Teng, Yong Wang, Bo Zeng and Xiaoguang Hu (2011). Simple interpolated FFT algorithm based on minimize sidelobe windows for power-harmonic analysis. IEEE Transactions on Power Electronics, 26(9), 2570--2579.

Crossref

Google Scholar

[4]

Ruimiao Zhai, Chao Ying, Guochen Ren and Yan Zhang (2015). An approach for harmonic analysis based on Nuttall window and triple-spectral-line interpolation. Power System Protection and Control, 43(10), 38--43.(in Chinese)

Google Scholar

[5]

Okarma Krzysztof (2007). Polynomial windows with low sidelobes' level. Signal Processing, 87(4), 782--788.

Digital Library

Google Scholar

[6]

Tianyuan Tan, Wenjuan Chen, Kaiei Liu, Niu Xiong, Junmin Zhang and Junhua Wang (2016). Harmonic analysis based on time domain mutual-multiplication window. Journal of Modern Power Systems and Clean Energy, 4(1), 47--53.

Crossref

Google Scholar

[7]

He Wen, Zhaosheng Teng, and Siyu Guo (2009). Triangular self-convolution window with desirable sidelobe behaviors for harmonic analysis of power system. IEEE Transactions on Instrumentation and Measurement, 59(3), 543--552.

Crossref

Google Scholar

[8]

Dusan Agrez (2002). Weighted multipoint interpolated DFT to improve amplitude estimation of multifrequency signal. IEEE Transactions on Instrumentation and Measurement, 51(2), 287--292.

Crossref

Google Scholar

[9]

Daniel Belega and Dallet Dominique (2008). Frequency estimation via weighted multipoint interpolated DFT. IET Science, Measurement & Technology, 2(1), 1--8.

Crossref

Google Scholar

[10]

Hui Xue and Rengang Yang (2003). Optimal interpolating windowed discrete Fourier transform algorithms for harmonic analysis in power systems. IEE Proceedings Generation, Transmission and Distribution, 150(5), 583--587.

Crossref

Google Scholar

[11]

Liuwang Wang, Jiancai Huang, Jianxin Sun, Qiang Wang and Yongli Zhu (2012). An improved precise algorithm for harmonic analysis based on Hanning-windowed FFT. Power System Protection and Control, 40(24), 28--33.(in Chinese)

Google Scholar

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Choi SYang HNoh YKim GKwon EYoo H(2024)FPGA-Based Multi-Channel Real-Time Data Acquisition SystemElectronics10.3390/electronics1315295013:15(2950)Online publication date: 26-Jul-2024
https://doi.org/10.3390/electronics13152950
Peng XLi JZhang DHu CSun NJiang J(2022)High-Precision ADC Spectrum Testing under Non-Coherent Sampling ConditionsSensors10.3390/s2221817022:21(8170)Online publication date: 25-Oct-2022
https://doi.org/10.3390/s22218170

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ICITEE '19: Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering

December 2019

870 pages

ISBN:9781450372930

DOI:10.1145/3386415

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 30 May 2020

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the Research Innovation Fund for the Postgraduates of Jishou University
the National Natural Science Foundation of China
the Natural Science Foundation of Hunan Province of China
the Scientific Research Funds for the Postgraduates of Jishou University
the project of Hunan Provincial Department of Education

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ICITEE-2019

ICITEE-2019: 2nd International Conference on Information Technologies and Electrical Engineering

December 6 - 7, 2019

Hunan, Zhuzhou, China

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Choi SYang HNoh YKim GKwon EYoo H(2024)FPGA-Based Multi-Channel Real-Time Data Acquisition SystemElectronics10.3390/electronics1315295013:15(2950)Online publication date: 26-Jul-2024
https://doi.org/10.3390/electronics13152950
Peng XLi JZhang DHu CSun NJiang J(2022)High-Precision ADC Spectrum Testing under Non-Coherent Sampling ConditionsSensors10.3390/s2221817022:21(8170)Online publication date: 25-Oct-2022
https://doi.org/10.3390/s22218170

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An efficient FFT algorithm based on the discrete sine transform

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An efficient FFT algorithm based on the discrete sine transform

Distributed multichannel speech enhancement with minimum mean-square error short-time spectral amplitude, log-spectral amplitude, and spectral phase estimation

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Statistical resolution limits and the complexified Crame´r-Rao bound