光伏系统
计算机科学
电弧故障断路器
断层(地质)
故障检测与隔离
电力系统
电压
电容器
最大功率点跟踪
弧(几何)
功率(物理)
电气工程
短路
电子工程
工程类
逆变器
物理
机械工程
量子力学
人工智能
地震学
地质学
执行机构
作者
Qing Xiong,Angelo L. Gattozzi,Xianyong Feng,C.E. Penney,Chen Zhang,Shengchang Ji,Shannon Strank,Robert Hebner
出处
期刊:IEEE Journal of Photovoltaics
日期:2023-11-01
卷期号:13 (6): 958-967
被引量:1
标识
DOI:10.1109/jphotov.2023.3306073
摘要
Photovoltaic systems provide electrical power with reduced emissions at competitive costs compared to legacy systems. A low or medium voltage dc distribution system is usually used for solar integration. In dc systems, parallel and series arc faults are a safety concern. Thus, reliable and timely detection and mitigation of arc faults are critical. DC arc detection methods typically use time or frequency spectrum variations of the circuit current or voltage to differentiate the arcing event from other system events. Since practical systems include power electronics and maximum-power-point tracking, any detection scheme must perform robustly in the electrical environment that these components establish in the dc power system. A capacitor placed in parallel with the main system is an effective sensor for series arc fault detection and localization applicable in this complex electrical environment. This article shows that the analysis of the amplitude, polarity, and spectrum characteristics of the capacitor current and voltage resulting from perturbations caused by the arc provides an effective method to identify and localize faults. The detection accuracy of the proposed approach is 98.3% and the localization accuracy rate is 100% for the correctly detected faults.
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