Harmonic Detection for Active Power Filter Based on Two-Step Improved EEMD

The performance of active power filter (APF) mainly depends on its harmonic detection method. Empirical mode decomposition (EMD) is applied to APF because of its effectiveness for any complicated signal analysis. Ensemble empirical mode decomposition (EEMD) can suppress mode mixing caused by EMD to...

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Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2022, Vol.71, p.1-10
Main Authors: Wang, Rongkun, Huang, Wenjie, Hu, Bingtao, Du, Quankai, Guo, Xinhua
Format: Article
Language:English
Subjects:
Active filters
Active power filter (APF)
Attenuation
Electric power grids
Empirical analysis
Energy distribution
ensemble empirical mode decomposition (EEMD)
fundamental attenuation
Harmonic analysis
Harmonic distortion
intrinsic mode function (IMF) energy distribution
Mathematical analysis
Noise
Parameters
Power filters
Power grids
Power harmonic filters
Signal analysis
Signal reconstruction
White noise
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Description
Summary:The performance of active power filter (APF) mainly depends on its harmonic detection method. Empirical mode decomposition (EMD) is applied to APF because of its effectiveness for any complicated signal analysis. Ensemble empirical mode decomposition (EEMD) can suppress mode mixing caused by EMD to a certain extent, but the amplitude and energy of fundamental is severely attenuated. To solve this problem, in this article, the causes of attenuation are discussed from the perspective of intrinsic mode functions (IMFs) energy, and an approach based on two-step improved EEMD is proposed. The first improved step (FI-EEMD) is to suppress the mode mixing and fundamental attenuation by injecting white noise and analytical signal with determined parameters into the target signal. The parameters of the analytical signal are selected according to the power grid conditions and signal characteristics. The second improved step (SI-EEMD) puts forward a signal reconstruction method based on the distribution of IMF energy extreme points and the distinguishing law of signal and noise to reduce the influence of noise-dominated components. The results show that the two-step improved EEMD not only has high-quality extracted fundamental with low total harmonic distortion (THD) and energy attenuation, but also has good applicability to aperiodic and nonstationary signals, which greatly improve the harmonic detection accuracy of APF.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2022.3146913