摘要
高压开关柜被广泛应用在电网体系中,保障其运行安全稳定尤为重要。本文针对目前在分析高压开关柜局部放电过程中存在窄带干扰及其他噪声干扰等问题,提出一种新的降噪算法——自适应集合经验模态分解(AEEMD),其核心思想为在原始信号中加入白噪声后只分解一阶模式,然后将噪声不断加到剩余信号中进行循环处理。该方法简化了去噪过程,并减少了模态混叠现象。试验结果表明,通过该方法所得到的信号波形与实测原始信号波形基本一致,同时与另外两种算法对比体现出其优越性。
High voltage switchgear is widely used in power system,so it is very important to ensure its safe and stable operation.Aiming at the problems of narrow-band interference and other noise interference in the analysis of partial discharge of high-voltage switchgear,a new noise reduction algorithm called adaptive ensemble empirical mode decomposition(AEEMD)is proposed in this paper.The core idea of the proposed algorithm is to decompose only the first-order mode after adding white noise to the original signal,and then add noise to the remaining signal for cyclic processing.The denoising process is simplified and modal aliasing is reduced.Experimental results show that the signal waveform obtained by this method is basically consistent with the measured original signal waveform,and it is superior to the other two algorithms.
作者
孙聪
鞠鹏飞
李大华
李栋
SUN Cong;JU Pengfei;LI Dahua;LI Dong(School of Electrical and Electronic Engineering,Tianjin University of Technology,Tianjin 300384;Tianjin Advanced Mechatronic System Design and Intelligent Control Laboratory,School of Mechanical Engineering,Tianjin University of Technology,Tianjin 300384;National Experimental Teaching Demonstration Center of Mechanical and Electrical Engineering,Tianjin University of Technology,Tianjin 300384)
出处
《电气技术》
2022年第2期67-72,78,共7页
Electrical Engineering
关键词
局部放电
信号降噪
窄带干扰
算法对比
partial discharge
signal denoising
narrowband interference
algorithm contrast
