Method of Harmonic Detection Based on the Wavelet Transform

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Abstract:

The harmonic current detection technology is one of the key technologies of active power filter technologies. The development of the harmonic current detection technology directly determines the development of the active power filter technologies. Based on this, this paper introduces some basis concepts of wavelet transform and analyzes its time-frequency localization properties, then, describes the harmonic detection methods based on wavelet transform in terms of program building, algorithm selection and wavelet function selection. The results show that the harmonic current detection methods based on wavelet transform are able to compensate the inadequacy of Fourier transforms and can achieve the functions of detecting the steady-state and time-varying harmonic current of the grid in harmonic detection of active power filter.

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646-650

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Weng Limin, Zhang Li.. The Quality Problems nd Harmonic Suppression of Power Distribution and Supply System. Electrical Age, 2009, 20 (10): 54-57.

Google Scholar

[2] Yin Jing. The Hazards and Control of Harmonic in Power System. Journal of Wuhan Institute of Shipbuilding Technology, 2008, 24 (1): 19-21.

Google Scholar

[3] Gao Dawei. Study on Comprehensive Compensation of Harmonic, Reactive and Negative Sequence Current. Beijing: North China Electric Power University, (2009)

Google Scholar

[4] Xue Hui, Yang Rengang. High-Precision Harmonic Detection Algorithm Based on FFT. Journal of Chinese Electrical Engineering, 2008, 22 (12): 106-110.

Google Scholar

[5] Lai L L, Chan W L, et al. Real-time Frequency and Harmonic Evaluation Using Artificial Neural Networks IEEE. Transactions on Power Delivery, 2009, 14 (1): 52-59.

DOI: 10.1109/61.736681

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