改进加窗频谱峰值拟合算法及谐波分析应用

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Abstract Windowed FFT algorithm is widely used for power harmonic analysis recently. However, there are some contradictions between the accuracy and computation burden in discrete spectral corrections. In this paper, the power harmonic analysis algorithm based on the least square method (LSM) and triangular self-convolution windows (TSCW) are proposed. Firstly, the signal is weighted by TSCW for reducing spectral leakage. Then, the polynomials for discrete spectral corrections, which are also adjustable by the computation accuracy, are founded based on the LSM. Finally, the computation formulas of amplitude, phase and frequency of harmonics are given based on the spectral correction polynomials. The power harmonic analysis experiments are taken under non-synchronized sampling and non-integral period truncation, including white noise and fundamental frequency changing, which verify the usefulness of the proposed method．

Key words： Least square method polynomial fitting power harmonic spectral correction harmonic analysis

Received: 09 October 2010 Published: 07 March 2014

PACS:	TM85
	TM933

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	Articles by authors
	Wen He
	Teng Zhaosheng
	Li Fuhai
	Wang Yong
	Hu Xiaoguang

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Wen He,Teng Zhaosheng,Li Fuhai等. Improved Windowed Spectral-Peaks Polynomial Fitting Algorithm and Its Application in Power Harmonic Analysis[J]. Transactions of China Electrotechnical Society, 2011, 26(10): 8-15.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2011/V26/I10/8

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