华侨大学学报（自然科学版）2017，Vol.38Issue(1)：7-12,6.DOI:10.11830/ISSN.1000-5013.201701002
采用小波变换的光伏串联电弧故障检测
Photovoltaic Series Arc Fault Detection Utilizing Wavelet Transform
摘要
Abstract
To detect and analyze the series arc faults in photovoltaic (PV)systems,an experimental platform was established to study the PV systems within the arcing fault,and to simulate different weather conditions by using PV simulator module.A wavelet transform analysis technique was utilized for extracting features of series arc faults in a certain frequency band.Meanwhile,a method of moving time window was applied to cal-culate the energy values of high-frequency coefficients derived from wavelet decomposition,which can be used to represent the chaotic and disordered degree of the arc fault signals.Experimental results showed the detec-tion method can provide an effective criterion to distinguish series arc fault in PV system.关键词
光伏系统/小波变换/故障诊断/串联电弧/能量特征Key words
photovoltaic systems/wavelet transform/fault diagnosis/series arc/energy feature分类
信息技术与安全科学引用本文复制引用
赵尚程,张认成,杜建华,杨凯,潘冷..采用小波变换的光伏串联电弧故障检测[J].华侨大学学报（自然科学版）,2017,38(1):7-12,6.基金项目
福建省产学合作科技重大项目（2012H6013）；福建省科技计划重点项目 （）
