一种光伏阵列实时状态监测与故障定位系统
A real-time status monitoring and fault location system for photovoltaic arrays

开发一种光伏阵列状态监测和故障定位系统，该系统将连续采集、 间歇采集、 自动定时采集、 故障检测定位等功能集成到统一的Matlab平台. 提出一种“阈值法－Hampel辨识法”相结合的光伏阵列离群值检测算法，该算法通过比较不同光伏组串瞬时电流进行异常检测实现故障定位. 基于实验室光伏并网发电平台上的故障模拟，重点研究了线线故障和失配故障条件下的故障检测与定位. 实验结果表明：该系统能够自动定时采集光伏电气特性数据并快速、 准确地判断是否发生故障及实现故障组串定位，具有良好的应用前景.
A PV array real-time status monitoring and fault location system is developed in this paper. The system integrates continuous acquisition，intermittent acquisition，automatic timing acquisition，fault detection and location and other functions into a unified Matlab platform. This paper puts forward a hybrid fault detection and location algorithm that is called “threshold-Hampel identification” method which is suitable to detect the abnormal data. The algorithm realizes the fault location by comparing the instantaneous current of different PV strings. Moreover，based on the fault simulation on a laboratory PV grid-connected power generation platform，the fault detection and location under line-line fault and mismatch fault conditions are studied. Experimental result shows that the developed system can automatically acquire the PV electrical data，quickly and accurately detect and locate faulty strings，which has a good application prospect