暂态电能质量扰动的GWO-VMD与DWT结合检测方法  

Combined GWO-VMD and DWT Detection Method for Transient Power Quality Disturbances

作　　者：费剑 宋弘 吴浩 蒲维 彭宁 FEI Jian;SONG Hong;WU Hao;PU Wei;PENG Ning(School of Automation and Information Engineering,Sichuan University of Science&Engineering,Zigong Sichuan 643000,China;School of Electronic Information and Automation Aba Teachers University,Aba Sichuan 624000,China;Sichuan Provincial Key Laboratory of Artifi-cial Intelligence Yibin Sichuan 644000,China)

机构地区：[1]四川轻化工大学自动化与信息工程学院,四川自贡643000 [2]阿坝师范学院电子信息与自动化学院,四川阿坝624000 [3]人工智能四川省重点实验室,四川宜宾644000

出　　处：《宜宾学院学报》2023年第6期54-61,共8页Journal of Yibin University

基　　金：人工智能四川省重点实验室项目(2019RYY01);四川省科技厅项目(2022ZHCG0035);企业信息化与物联网测控技术四川省高校重点实验室项目(2020WZY02);四川理工学院四川省院士(专家)工作站项目(2018YSGZZ04);自贡市科技局项目(YGJC16)。

摘　　要：针对噪声环境下暂态扰动检测困难的问题,提出一种GWO-VMD与DWT相结合的检测方法.首先,利用灰狼优化算法(GWO)结合包络熵对变分模态分解(VMD)的参数K、α进行自适应优化处理,避免人工选择参数导致分解效果差的缺陷;其次利用优化后的VMD算法将含有噪声的暂态扰动信号分解为有限个调幅调频信号(VIMF);再次采用快速傅里叶变换(FFT)算法确定每个VIMF分量的含噪程度,对低噪分量平滑处理后进行重构;最后利用离散小波变换(DWT)方法对重构的暂态扰动进行检测定位.仿真实验表明,GWO-VMD与DWT相结合的检测方法具有较高的准确率和有效性.A combined GWO-VMD and DWT detection method was proposed to address the difficulty of transient disturbance detection in noisy environments.Firstly,the parameters、of the variational mode decomposition(VMD)were adaptively opti⁃mized using the Grey Wolf Optimizer(GWO)combined with the envelope entropy,avoiding the drawback of poor decomposi⁃tion due to manual parameter selection;the optimized VMD algorithm was then used to decompose the noise-laden transient dis⁃turbance signal into a finite variable intrinsic mode function(VIMF);the fast Fourier transform(FFT)algorithm was then used to determine the noise content of each VIMF component,and the low noise components were smoothed and reconstructed;finally,the discrete wavelet transform(DWT)method was used to detect and locate the transient disturbances of the reconstruction.Simulation experiments show that the combined GWO-VMD and DWT detection method has a high accuracy and effectiveness.

关 键 词：暂态电能质量 变分模态分解 灰狼优化算法 降噪 检测定位 DWT 

分 类 号：TM712[电气工程—电力系统及自动化]