利用预录电弧特征的电弧故障检测器算法评估方法

J. Johnson, J. Kang
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引用次数: 41

摘要

2011年国家电气规范®第690.11条要求建筑物上或穿透建筑物的光伏系统包括直流电弧故障保护装置。为了满足这一要求,包括Sensata Technologies在内的多家制造商正在开发新的电弧故障检测器(afd)。电弧故障检测算法通常利用PV串上的交流噪声来确定直流系统中何时存在电弧条件。为了加快Sensata Technologies电弧故障检测算法的开发和测试,桑迪亚国家实验室(SNL)提供了大量数据集。这些预先记录的10 MHz基线和电弧故障数据集包括不同的逆变器和电弧故障噪声特征。Sensata Technologies创建了一种数据评估方法,专注于使用任意函数生成器再生预先记录的弧形和基线测试数据,从而缩短了AFD的开发时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Arc-fault detector algorithm evaluation method utilizing prerecorded arcing signatures
The 2011 National Electrical Code® Article 690.11 requires photovoltaic systems on or penetrating a building to include a DC arc-fault protection device. In order to satisfy this requirement, new Arc-Fault Detectors (AFDs) are being developed by multiple manufacturers including Sensata Technologies. Arc-fault detection algorithms often utilize the AC noise on the PV string to determine when arcing conditions exist in the DC system. In order to accelerate the development and testing of Sensata Technologies' arc-fault detection algorithm, Sandia National Laboratories (SNL) provided a number of data sets. These prerecorded 10 MHz baseline and arc-fault data sets included different inverter and arc-fault noise signatures. Sensata Technologies created a data evaluation method focused on regeneration of the prerecorded arcing and baseline test data with an arbitrary function generator, thereby reducing AFD development time.
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