CAJ | 학술논문

针对暂态电能质量扰动信号的检测与定位，提出一种基于第2代小波变换的提升复小波的提升算法。通过Euclidean分解算法得到复小波提升方案；利用该方案对常见的几种扰动信号进行提升变换，将变换后的幅值和相位信息用于暂态电能质量扰动的定位检测及扰动幅度估计；并与第1代小波变换进行比较。仿真结果表明，所提算法具有简单、运行速度快、检测精度高等优点，能够准确定位暂态电能质量扰动信号和计算扰动信号的变化幅度。
침대잠태전능질량우동신호적검측여정위，제출일충기우제2대소파변환적제승복소파적제승산법。통과Euclidean분해산법득도복소파제승방안；이용해방안대상견적궤충우동신호진행제승변환，장변환후적폭치화상위신식용우잠태전능질량우동적정위검측급우동폭도고계；병여제1대소파변환진행비교。방진결과표명，소제산법구유간단、운행속도쾌、검측정도고등우점，능구준학정위잠태전능질량우동신호화계산우동신호적변화폭도。
An improved algorithm based on the second generation wavelet transform of lifting complex wavelet transform was proposed to detect and localize transient power quality disturbances. In the new algorithm, the Euclidean decomposition principle is used to obtain complex wavelet lifting scheme, a lifting and transform on some common disturbances are made with the scheme, and the amplitude and phase information after lifting complex wavelet transform are applied to localizing transient power quality disturbances and estimating amplitude. A comparision between the proposed algorithm and the first generation wavelet transform was made, and the simulation results show that the proposed algorithm is simpler, faster, and accurater, and it can localizing transient power quality disturbances and estimating amplitude precisely.