摘要
近年来,电能质量问题日益受到关注。为了对电能质量进行分析与评估,需要对其进行监测,但是在信号采集的过程中会受到噪声的影响,给分析带来困难。基于小波变换的软阈值法去噪是比较有效的,本文在正态分布3σ原则的基础上,提出了一种改进的软阈值去噪方法。对典型的电能质量扰动信号进行了去噪仿真,对重构信号进行了扰动检测,仿真结果表明,与通用软阈值法相比,该方法提高了检测正确率。
Recently, power quality issues have captured more attention. It is necessary to monitor power quality in order to analyze and evaluate it. But noises will influence the signals during data collection. It is hard to analyze signals correctly. Soft-threshold de-noising method based on wavelet transform is effective. Considering that the noise of power system is Gauss white noise commonly, which obeys normal distribution, this paper proposes an improved soft-threshold de-noising method based on 3σ principle of normal distribution, typical power quality disturbance signals including sag, swell, interruption and transient impulse are simulated, and the reconstructed signals disturbance is detected. Comparing with universal soft-threshold de-noising method, simulation results show that the rate of accurate detection is improved by this method.
出处
《电工电能新技术》
CSCD
北大核心
2006年第2期34-38,共5页
Advanced Technology of Electrical Engineering and Energy
关键词
电能质量
小波变换
软阈值
去噪
power quality
wavelet transform
soft-threshold
de-noising
