光伏系统直流串联电弧故障检测研究
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Research on Photovoltaic System Series DC Arc Fault Detection
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    摘要:

    搭建了光伏系统电弧故障实验平台,采集系统运行时的电流作为电弧检测的依据,利用时频域分析相结合的方法对电弧故障进行检测。分析发现系统正常运行和发生电弧故障时的电流信号在时域上的平均值变化特征明显,而在频域上利用小波对电弧电流及正常电流做5层分解,利用d5频段能量可有效对正常、阴影遮挡及故障运行状态进行区分。最后,采用将时频域特征结合利用阈值对电弧故障进行二次判断的方法对电弧故障进行检测,检测结果证明了该方法的有效性与可行性。

    Abstract:

    An experimental platform of photovoltaic (PV) system arc fault detection was built, and the current when the system was in operation was collected as the basis for arc detection. Afterwards, a method of combining the time- and frequency-domain features was used to detect the arc fault. Analysis results show that the changes in average time-domain current signals were significant in cases with and without arc fault. Moreover, in the frequency-domain, by decomposing the arc current and normal current into 5 layers using wavelet decomposition, the d5 frequency-band energy can be used to effectively distinguish among the normal, shadowed and fault running states. Finally, the arc fault was detected by combining the time- and frequency-domain features with the secondary arc fault detection method by means of threshold. Detection results show that the proposed method is effective and feasible.

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张国军,杨东建,季淑洁,李浩文.光伏系统直流串联电弧故障检测研究[J].电源学报,2021,19(1):90-96

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  • 收稿日期:2018-01-09
  • 最后修改日期:2020-09-24
  • 录用日期:2018-03-01
  • 在线发布日期: 2021-01-21