Abstract：This paper presents a new approach based on a combination of interpolating windowed FFT and discrete wavelet transform. In this approach, the fundamental frequency is firstly estimated, using interpolating windowed FFT. Then the input sampled signal is windowed and modulated by two signals with the same frequency as the harmonic frequency. Therefore the harmonic component is transformed into two dc-like components. These components are separated out by discrete wavelet transform to estimate harmonic phase angle and amplitude. Simulation and experimental results prove that the proposed algorithm can be used to estimate accurately harmonic parameters of power signal heavily distorted by noises, especially harmonic phase. Realization on the evaluation board justifies its real-time applicability for harmonic analysis in power systems.
张鹏, 李红斌. 一种基于离散小波变换的谐波分析方法[J]. 电工技术学报, 2012, 27(3): 252-259.
Zhang Peng, Li Hongbin. A Novel Algorithm for Harmonic Analysis Based on Discrete Wavelet Transforms. Transactions of China Electrotechnical Society, 2012, 27(3): 252-259.
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2012, Vol. 27 
