摘要
为准确检测电力系统的谐波分量,提出一种基于小波阈值去噪和自适应变分模态分解(VMD)的谐波检测方法。在传统VMD算法基础上,通过构建输入信号Hankel矩阵并进行奇异值分解(SVD)的方法,自适应确定模态分解个数;利用改进的小波阈值去噪方法减少噪声的干扰,进一步提高检测精度。仿真实验表明,所提方法能有效地估计谐波的频率和幅值参数,具有较高的检测精度和良好的噪声鲁棒性。
A method of harmonics detection based on wavelet threshold denoising and adaptive variational mode decomposition(VMD)is proposed to detect harmonics in power system accurately.On the basis of traditional VMD algorithm,the modal decomposition number can be adaptively obtained by constructing the Hankel matrix of input signal and performing singular value decomposition(SVD)on the matrix.In addition,the improved wavelet threshold denoising method is used to reduce noise disturbance and improve the detection accuracy.The simulation results demonstrate that the proposed method can estimate the frequency and amplitude of harmonics effectively,and has higher detection accuracy and better noise robustness.
作者
杨韬
王银花
周深武
YANG Tao;WANG Yinhua;ZHOU Shenwu(College of Electrical Engineering,Tongling University,244061,Tongling,Anhui,China)
出处
《淮北师范大学学报（自然科学版）》
CAS
2023年第1期46-51,共6页
Journal of Huaibei Normal University：Natural Sciences
基金
安徽省“六卓越、一拔尖”卓越人才培养创新项目(2020zyrc156)。
关键词
变分模态分解
小波阈值去噪
谐波检测
奇异值分解
variational mode decomposition
wavelet threshold denoising
harmonic detection
singular value decomposition
