重庆邮电大学学报（自然科学版）2026，Vol.38Issue(3)：594-606,13.DOI:10.3979/j.issn.1673-825X.202504280103
基于自适应谱线增强的光伏电弧故障检测方法
Photovoltaic arc fault detection method based on adaptive spectral line enhancement
摘要
Abstract
The complex operating conditions of photovoltaic(PV)systems make arc fault detection particularly challenging,especially when arc signals exhibit weak amplitudes and spectral characteristics that are easily obscured by background noise,making it difficult to accurately capture their transient behaviors and nonlinear features.Building upon direct-current(DC)arc fault detection and incorporating time-frequency domain analyses of fault characteristics in four DC and PV system scenarios,this paper proposes a photovoltaic arc fault processing method based on adaptive line enhancement(ALE).The proposed method not only effectively addresses detection challenges in DC systems but also adapts well to photovoltaic systems,particularly under inverter startup noise interference.First,fast fourier transform(FFT)is employed to obtain frequency-domain information.Signal preprocessing is then performed using the density of extreme points combined with a fluctuation factor.Subsequently,a cuckoo search optimized adaptive filter(CSOAF)is utilized for noise suppression and signal smoothing.An improved Teager energy operator(TEO)based on a three-point symmetric difference scheme is introduced to enhance the nonlinear transient characteristics of the signal while suppressing noise components in other frequency bands.Features extracted from the enhanced signals are finally identified using residual connection-based stacked autoencoders(Res-SAEs).Experimental results demonstrate that the proposed method achieves a fault detection accuracy exceeding 98%,indicating its effectiveness and robustness for photovoltaic arc fault detection under complex operating conditions.关键词
光伏系统电弧故障检测/改进布谷鸟算法/改进TEO能量算子/堆叠自编码器/残差连接Key words
photovoltaic arc fault detection/improved cuckoo search optimization algorithm/improved TEO/stacked autoencoder/residual connection分类
信息技术与安全科学引用本文复制引用
王毅,程小毅,肖冀,郑可,张家铭..基于自适应谱线增强的光伏电弧故障检测方法[J].重庆邮电大学学报（自然科学版）,2026,38(3):594-606,13.基金项目
2023年度扬中市社会发展科技计划项目(YS202305) Yangzhong Microgrid Group Optimization Operation Intelligent Technology Demonstration Project(YS202305) （YS202305）
