搭建光伏系统串联型电弧实验平台,采集不同环境下50组电弧数据,提取出频域及小波域的能量特征与熵特征,绘制特征的分布情况。通过引入区分度对18种特征进行区分能力评价,评价结果表明,10~30 kHz频谱能量对电弧的区分能力最佳,对电弧状态与正常状态的区分度达到98.49%。研究逆变器启动、太阳辐照度变化及不同环境对特征的影响,分析10~30 kHz频谱能量在光伏系统中的抗扰能力。制作串联型电弧检测装置并提出其阈值的设定及推广方法,装置在多次实验中均可准确检测并迅速熄灭电弧,且在抗扰性实验中未发生误动作,动作时间可达到41 ms。
Abstract
In this paper, a series arc experiment platform for photovoltaic system is built, 50 sets of arc data under different environments are collected, energy characteristics and entropy characteristics in frequency domain and wavelet domain are extracted, and the distribution of characteristics is drawn. The discrimination ability of 18 features is evaluated by introducing the discrimination degree. The evaluation result shows that the 10-30 kHz spectrum energy has the best discrimination ability to the arc, and the discrimination degree between the arc state and the normal state reaches 98.49%. The influence of inverter startup, light intensity change and different environment on characteristics is studied, and the anti-interference ability of 10-30 kHz spectrum energy in photovoltaic system is analyzed. A series arc detection device is made and its threshold setting and promotion method are proposed. The device can accurately detect and quickly extinguish the arc in many experiments, and there is no misoperation in the immunity experiment. The action time can reach 41 ms.
关键词
光伏系统 /
串联电弧 /
电弧检测 /
特征提取 /
抗扰性分析 /
装置研制
Key words
photovoltaic system /
series arc /
arc detection /
feature extraction /
anti-interference analysis /
energy entropy /
device development
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基金
上海市科委科技计划（20DZ1206100）; 上海市科委科技计划（21DZ1207300）
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