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《Mathematics in Practice and Theory》 2018-18
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Transient Power Quality De-noising Based on EMD and PCA

YU Min;WANG Bin;WANG Wen-bo;ZHENG Lei;ZHANG Liang-li;TU Li-lan;College of Information Science and Engineering,Wuhan University of Science and Technology;School of Science,Wuhan University of Science and Technology;Wuhan NARI Limited Liability Company of STATE GRID Electric Power Research Institute;  
According to the power quality disturbance, a novel de-noising approach based on EMD and PCA is proposed in this paper. At first signal is decomposed as a series of intrinsic mode functions(IMFs) by EMD, the details of the first layer of IMF information are extracted. The PCA transform is performed on the second layer and the back of the IMF, part of principlecomponents are selected to reconstruct the IMF according to the noise energy, then the noise ofeach layer in IMF is removed. Digital simulation is used on voltage sag, voltage Interruption, transient impulse, harmonic and their combined disturbances, the method proposed in this paperis better than SureShrink wavelet and BayesShrink wavelet de-noising algorithm Especially for the voltage sag, voltage interruption, voltage swell which are the most important transient power quality,the denoising effect is more obvious, and the results confirm its effectiveness.
【Fund】: 国家自然科学基金(61671338 61471338)
【CateGory Index】: TM711
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