采用小波变换的光伏串联电弧故障检测

建立光伏系统电弧故障实验平台,利用光伏模拟器仿真不同天气环境下的光伏阵列,对光伏系统中串联电弧故障信号进行检测和分析.采用小波变换的方法对串联电弧故障信号进行特征频带提取,并利用移动时间窗方法统计信号在小波分解后的高频系数的能量值,用其表征电弧故障信号的杂乱度和混沌度.研究结果表明:该检测方法为快速准确地诊断串联电弧故障提供有效判据.

Photovoltaic Series Arc Fault Detection Utilizing Wavelet Transform

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 calculate 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 detection method can provide an effective criterion to distinguish series arc fault in PV system.