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Outlier detection rules for fault detection in solar photovoltaic arrays

机译:太阳能光伏阵列中故障检测的异常值检测规则

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Solar photovoltaic (PV) arrays are unique power sources that may have uncleared fault current when utilizing conventional overcurrent protection devices. To monitor the PV operation and detect these unnoticed faults, outlier detection rules have been proposed for fault detection based on instantaneous PV string current. This paper discusses three rules in detail: 3-Sigma rule, Hampel identifier, and Boxplot rule. Unlike other methods, the proposed methods do not require weather measurement or efforts in model training. Our experimental results show that Hampel identifier and Boxplot rule may be recommended for PV fault detection. Furthermore, the proposed models become more reliable as the number of PV measurements increases. The developed methods may be integrated with PV monitoring system for real-time operation.
机译:太阳能光伏(PV)阵列是独特的电源,在使用传统的过流保护设备时可能具有无法清除的故障电流。为了监视PV运行并检测出这些未注意到的故障,已提出了基于瞬时PV串电流的异常检测规则来进行故障检测。本文详细讨论了三个规则:3-Sigma规则,Hampel标识符和Boxplot规则。与其他方法不同,提出的方法不需要天气测量或模型训练方面的努力。我们的实验结果表明,可以建议使用Hampel标识符和Boxplot规则进行PV故障检测。此外,随着PV测量数量的增加,所提出的模型变得更加可靠。所开发的方法可以与PV监控系统集成以进行实时操作。

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