一种基于高斯滤波器的电能质量信号去噪算法

A De-noising Method of Power Quality Signal Based on Gaussian Filter

研究电能质量问题有重要的意义。电能质量分析的必要前提是对采集到的电能质量信号进行有效的去噪处理,同时,保留突变点信息也是电能质量分析的一个重点。为了解决传统的滤波方法不能同时解决去噪和突变点信息保留这对矛盾的问题,该文提出了一种基于高斯滤波器的电能质量去噪算法。通过使用导数函数调整其尺度参数σ从而进一步调整滤波器的加权系数,使其既能平滑噪声又能较完整地保留突变点的信息。实验仿真结果表明,该文算法在去噪效果和突变点保留能力上均优于传统的滤波方法,选取σ约为所有点导数的均值时处理效果最佳。该文算法理论基础完善,易于实现,处理效果显著,有良好的发展前景。

It is significant to study power quality. A necessary precondition of power quality analysis is how to de-noise effectively to collected power quality signal, and besides, keeping break points＇ information is one of the emphases on power quality analysis. Traditional de-noising methods can＇t de-noise and keep break points＇ information at one time. The de-noising method of power quality signal based on Gaussian filter is proposed. Differential coefficient will be used to adjust measure parameter σ, the addition coefficient of filter will be adjusted accordingly, the filter can both de-noise and keep the break points＇ information then. The simulation experiment result indicated that, for the effects of de-noising and keeping the brake-points＇ information, this method is much better than traditional filter, when σ is approximate to equal of all differential coefficients, the effect is the best. The theory foundation of this method is consummate, and it is to carry out, furthermore, the effect of this method is excellent, so it has nice developmental foreground.