基于改进RLS-EMD的电能质量扰动信号去噪算法  

The Denoising Algorithm for Power Quality Disturbance Signals Based on Improved RLS-EMD

作　　者：刘永强 王金梅[1] 张祎雯 LIU Yongqiang;WANG Jinmei;ZHANG Yiwen(School of Electronic and Electrical Engineering,Ningxia University,Yinchuan 750021,China)

机构地区：[1]宁夏大学电子与电气工程学院,宁夏银川750021

出　　处：《西北工程技术学报(中英文)》2025年第1期60-67,共8页Ningxia Engineering Technology

基　　金：宁夏自然科学基金(2019AAC03027);宁夏回族自治区重点研发计划项目(2020BDE03003);宁夏回族自治区重点研发计划项目(2018BFH03004)。

摘　　要：针对电能质量扰动信号检测中容易受到外界噪声干扰的问题,提出了一种结合经验模态分解(EMD)和改进递归最小二乘(RLS)的电能质量扰动信号去噪算法。应用EMD将扰动信号分解为一系列固有模态函数(IMF)和残差,应用基于正则化改进的RLS自适应噪声消除器得到去噪后的IMF,再合并成为去噪后的扰动信号。改进的算法有效控制了模型权重的更新,加强了对噪声变化和非平稳信号特性的适应性。仿真结果表明,算法在去噪效果、稳定性和信号保真度方面具有优越性能。Aiming at the problem of external noise interference in power quality disturbance signal detection,a denoising algorithm that combines empirical mode decomposition(EMD)and improved recursive least squares(RLS)was proposed in this paper.The disturbance signal was decomposed into a series of intrinsic mode functions(IMF)and residuals by EMD.The denoised IMFs were obtained using an RLS adaptive noise canceler with improved regularization,and then merged to form the denoised disturbance signal.The improved algorithm can effectively control the update of model weights and strengthen adaptability to noise changes and non-stationary signal characteristics.Simulation results indicate that the algorithm exhibits superior performance in denoising effect,stability and signal fidelity.

关 键 词：信号去噪 电能质量扰动信号 经验模态分解 递归最小二乘法 自适应噪声消除器 

分 类 号：TM711[电气工程—电力系统及自动化]