湖南电力 ›› 2025, Vol. 45 ›› Issue (3): 76-83.doi: 10.3969/j.issn.1008-0198.2025.03.011

• 电网运行与控制 • 上一篇    下一篇

基于改进SVD-SVMD的交流滤波器避雷器泄漏电流去噪方法

樊培培1, 马晓薇1, 李腾1, 廖军1, 卢一相2   

  1. 1.国网安徽省电力有限公司超高压分公司,安徽 合肥 230022;
    2.安徽大学电气工程与自动化学院,安徽 合肥 230601
  • 收稿日期:2025-03-07 修回日期:2025-04-23 发布日期:2025-07-02
  • 通信作者: 卢一相(1980),男,博士,副教授,主要研究方向为信号处理和机器学习。
  • 作者简介:樊培培(1984),男,高级工程师,主要研究方向为交直流超特高压电网运检和应急管理。马晓薇(1988),女,高级工程师,主要研究方向电气试验和信息化系统管理。李腾(1985),男,高级工程师,主要研究方向为交直流超特高压变电设备状态监测与故障诊断。廖军(1983),男,高级工程师,主要从事交直流超特高压设备运检和研究工作。
  • 基金资助:
    国家自然科学基金项目(62406001); 国网安徽省电力有限公司科技项目(521203240005)

A Denoising Method for Arrester Leakage Current of AC-filter Based on Improved SVD-SVMD

FAN Peipei1, MA Xiaowei1, Li Teng1, LiAO Jun1, LU Yixiang2   

  1. 1. Super High Voltage Branch of State Grid Anhui Electric Power Co., Ltd., Hefei 230022, China;
    2. School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
  • Received:2025-03-07 Revised:2025-04-23 Published:2025-07-02

摘要: 针对避雷器泄漏电流存在的噪声对设备监测工作产生影响的问题,提出一种改进奇异值分布-连续变分模态的交流滤波器避雷器泄漏电流去噪方法。首先,对原始的避雷器泄漏电流数据进行奇异值分解,在这个过程中引入奇异值差分能量谱来确定最优阈值,再依据确定好的最优阈值进行数据重构,提取出主要谐波分量。然后,利用最小包络熵来寻优逐次变分模态分解惩罚因子,进而对数据进行分解,在完成分解后,对信号主导分量进行重构操作。最后,利用改进的小波阈值对残余的微噪声进行去噪处理,得到去噪后的金属氧化物避雷器泄漏电流信号。仿真及工程实验结果验证了所提方法的有效性。

关键词: 交流滤波器避雷器, 泄漏电流, 去噪, 奇异值能量差分谱, 小波阈值

Abstract: Aiming at the problem that the noise of arrester leakage current affects the equipment monitoring work, an improved SVD-SVMD denoising method for AC filter arrester leakage current is proposed. First, the original leakage current data of the arrester undergoes singular value decomposition, during which the differential energy spectrum of singular values is introduced to determine the optimal threshold. The data are then reconstructed based on this optimal threshold to extract the primary harmonic components. Next, the minimum envelope entropy is utilized to optimize the penalty factor for successive variational modal decomposition, which is then applied to decompose the preprocessed data. After the decomposition, the dominant signal components are reconstructed. Finally, an improved wavelet threshold is employed to remove the residual micro-noise, resulting in a denoised leakage current signal of the metal oxide arrester. The effectiveness of the proposed method is validated through simulations and engineering experimental results.

Key words: arrester of AC-filter, leakage current, denoising, singular value energy difference spectrum, wavelet threshold

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