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光伏系统直流故障电弧时频域特性及其复合模型研究 被引量:23

Research on Time-frequency Characteristics and Composite Models of DC Arc Faults in Photovoltaic System
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摘要 故障电弧严重威胁着光伏系统的安全稳定运行,研究其物理特性及保护装置具有重要的意义。文中为了探究光伏系统内直流故障电弧的时频域特性,构建更适合系统级仿真的电弧模型,以MATLAB软件作为仿真平台,分别研究了3种不同类型的电弧模型。通过对仿真所得的故障电弧电流信号进行时频分析,得到了不同电弧模型的时频特征,并与实验波形及其时频特征进行对比,得到了不同模型在故障电弧时频特性仿真方面的优缺点。单一使用电弧噪声模型和U-I模型无法完整地描述故障电弧特性,将二者适当组合得到的复合模型仿真效果良好,最终对复合模型和黑盒模型在光伏系统故障电弧仿真的范围进行了讨论。提出的复合电弧模型为光伏系统故障电弧特征的研究及诊断方法的性能验证提供了有效的仿真手段。 The arc fault is a serious threat to safe and stable operation of photovoltaic systems. It is of great significance to research its physical properties and relevant protection devices.In order to study the time-frequency characteristics of DC arc fault in photovoltaic system,an arc fault model which is more suitable for the system simulation is constructed. The MATLAB software is used as the simulation platform in this paper to study three different types of arc models respectively. By analyzing the time-frequency characteristics of the arc fault current signals obtained by simulation,the time frequency characteristics of different arc models are obtained,and compared with the experimental waveform and its time frequency characteristic.The advantages and disadvantages of different models in the simulation of arc fault time-frequency characteristics are obtained. Using the arc noise model and the U-I model alone cannot fully describe the fault arc characteristics.While,the composite model,which is obtained by way of proper combination of them,has a good simulation effect.Finally,the range of simulation of the composite arc model and the black box arc model in photovoltaic system is discussed. The proposed composite arc model provides effective arc fault simulation method for the performance verification of arc fault features and diagnosis methods in photovoltaic systems.
作者 孟羽 李兴文 吴子豪 王辰曦 陈思磊 MENG Yu;LI Xingwen;WU Zihao;WANG Chenxi;CHEN Silei(The State Key Laboratory of Electrical Insulation and Power Equipment,Xi’an Jiaotong University,Xi’an 710049,China;Electric Power Research Institute of State Grid Shaanxi Electric Power Company,Xi’an 710100,China)
出处 《高压电器》 CAS CSCD 北大核心 2022年第5期23-30,40,共9页 High Voltage Apparatus
基金 国家电网有限公司总部管理科技项目(基于机器学习的直流故障电弧检测方法与关键技术研究)。
关键词 光伏系统 故障电弧 电弧模型 实验分析 时频分析 photovoltaic system arc fault arc model experiment analysis time-frequency analysis
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