电力系统自动化2016，Vol.40Issue(23)：109-117,9.DOI:10.7500/AEPS20160117003
电能质量扰动信号的自适应去噪方法
Adaptive De-noising Method for Power Quality Disturbance Signals
摘要
Abstract
Effective noise reduction of power quality(PQ)signals is the basis of detection and recognition of PQ signals.The block-matching and 3D collaborative filtering(BM3D)algorithm is at present the most efficient de-noising algorithm for Gauss noise and other noise models in the field of image processing.To overcome the difficulty of one-dimensional PQ signals de-noising,that is,effectively removing noise and well keeping singularities intact,the BM3D algorithm is improved and a novel adaptive noise reduction method for PQ disturbances is proposed.For the proposed method,as less parameters are used,there is no need to estimate noise variance,nor is it necessary to artificially set the filter thresholds.Rather,accurate thresholds are calculated adaptively for the discrete cosine transform (DCT) domain filtering to obtain the de-noising results of PQ disturbances.The simulation experiments of six common kinds of PQ disturbances,including voltage interruption,voltage sag,voltage swell,impulsive transient,oscillation transient and harmonic,are performed and a comparison with the widely used wavelet threshold de-noising method is analyzed.Finally,the actual PQ data is employed.The experimental results indicate that the proposed method is effective.关键词
电能质量/基于块匹配的三维变换域联合滤波/离散余弦变换/自适应去噪/信号突变点Key words
power quality/block-matching and 3D collaborative filtering(BM3D)/discrete cosine transform(DCT)/adaptive de-noising/signal singularity引用本文复制引用
王燕,李群湛,高洁..电能质量扰动信号的自适应去噪方法[J].电力系统自动化,2016,40(23):109-117,9.基金项目
中央高校基本科研业务费专项资金资助项目(2682014RC07)。This work is supported by Fundamental Research Funds for the Central Universities(No.2682014RC07) （2682014RC07）
