针对噪声环境下暂态电能质量扰动检测困难的问题,提出一种基于小波模极大值(WMM)与分层自适应阈值函数(HATF)相结合的检测方法(WMM+HATF)。首先,为了有效对扰动信号降噪,即保证降噪后信号的平滑度以及保留突变点信息,采用自适应调节的 HATF,该函数在阈值处和小波域内均可导,避免了传统与其他改进阈值函数不能或过度降噪的缺陷。其次,基于 WMM 通过细节系数的模极大值点位置对降噪后的暂态电能质量扰动进行定位。基于含噪的单一和复合扰动信号的仿真及对比分析显示:HATF降噪优势明显,WMM+HATF通用性好、定位准确率高。
Aiming at the difficulty of detecting transient power quality disturbances in noisy environments,this paper proposes a detection method based on the combination of wavelet modulus maximum and hierarchical adaptive threshold function. Firstly,in order to effectively reduce the noise of the disturbance signal, in other words, to ensure the smoothness of the signal after noise reduction and retain the mutation point information, adaptively adjusted HATF is adopted. The function is derivable at the threshold and in the wavelet domain, avoiding the defect that traditional or improved threshold functions can not reduce noise or reduce noise excessively. Secondly,based on the WMM method,the transient power quality disturbance after noise reduction is located by the position of the modulus maximum point in the detail coefficient. Based on noisy single and composite disturbance signals, simulation and comparative analysis show that HATF has obvious advantages in noise reduction and WMM+HATF has good versatility and high positioning accuracy.
徐敬伟,程杉,严潇,王瑞.基于WMM与HATF的含噪暂态电能质量扰动检测方法[J].电力科学与技术学报,2021,(4):3-11. Xu Jingwei, Cheng Shan, Yan Xiao, Wang Rui. Noisy transient power quality disturbance detection method based on WMM and HATF[J]. JOURNAL OF EIECTRIC POWER SCIENCE AND TECHNOLOGY,2021,(4):3-11.复制