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Power quality harmonic detection based on Fast-ICA

机译:基于FAST-ICA的电能质量谐波检测

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The main methods of power quality's harmonics detection are based on instantaneous reactive power theory, FFT and wavelet transform. A method of detecting power quality's harmonics based on ICA is proposed. First, independent component analysis method is introduced briefly, then using the Fast - ICA algorithm and negative entropy great independence standards to implement the estimations of harmonics signal, obtain base wave signal and every harmonic signal. The simulation results show that this method can accurately detect every harmonic composition of the multiple harmonics and it is not sensitive to noise. So it is suitable to the detection of power quality's harmonics.
机译:电能质量谐波检测的主要方法基于瞬时无功功率理论,FFT和小波变换。提出了一种检测基于ICA的电能质量谐波的方法。首先,简要介绍独立的分量分析方法,然后使用快速ICA算法和负熵良好的独立标准来实现谐波信号的估计,获得基波信号和每个谐波信号。仿真结果表明,该方法可以准确地检测多次谐波的每个谐波组成,它对噪声不敏感。因此,它适合于检测电能质量的谐波。

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