电力系统自动化2016，Vol.40Issue(15)：93-98,6.DOI:10.7500/AEPS20150724005
基于谐波滤波器组的电能质量扰动数据压缩方法
Data Compression Method for Power Quality Disturbance Based on Harmonic Filter Bank
摘要
Abstract
By using the harmonic filter bank ( HFB) technique to separate the harmonic components from the transient ones in the power quality ( PQ) disturbance signals , a data compression method for PQ disturbance based on HFB is proposed . The harmonic component parameters can be estimated with high precision by adopting the interpolated discrete Fourier transform ( IpDFT) algorithm . The harmonic components are then compressed by parameter quantization , and the residue of disturbance is compressed by wavelet transform . The real PQ disturbance data are finally used to test the proposed method . The results show that the method is effective for various PQ disturbance data , and has even better performance than that of the standard wavelet compression method with the same compression ratio .关键词
电能质量扰动/数据压缩/谐波滤波器组/小波变换/参数量化Key words
power quality disturbance/data compression/harmonic filter bank/wavelet transformation/parameter quantization引用本文复制引用
张明,龚建峰,何顺帆..基于谐波滤波器组的电能质量扰动数据压缩方法[J].电力系统自动化,2016,40(15):93-98,6.基金项目
国家自然科学基金资助项目（51477124）。This work is supported by National Natural Science Foundation of China （ No ．51477124）． （）
