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Line-to-Line Faults Detection for Photovoltaic Arrays Based on I-V Curve Using Pattern Recognition

机译:基于I-V曲线的光伏阵列使用模式识别的光伏阵列线到线路故障检测

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Fault detection plays a crucial role in reliability and safety of photovoltaic systems. However, the fault detection by the conventional protection devices is always difficult due to nonlinear characteristics of PV systems, Maximum Power Point Tracking (MPPT), low irradiation, and high fault impedance. In addition, it may lead to the power losses, efficiency reduction and even fire hazard. This paper proposes an innovative fault detection method based on the pattern recognition techniques and extraction of the essential features from the current-voltage (I-V) characteristics. The main benefit of this method is using less data to detect faults while improving accuracy. The primary results demonstrate that the proposed method is accurate, effective and reliable for detecting line-line faults in PV systems.
机译:故障检测在光伏系统的可靠性和安全性中起着至关重要的作用。然而,由于光伏系统的非线性特性,传统保护装置的故障检测始终困难,最大功率点跟踪(MPPT),低辐射和高故障阻抗。此外,它可能导致功率损失,效率降低甚至火灾危险。本文提出了一种基于模式识别技术的创新故障检测方法,以及来自电流 - 电压(I-V)特性的基本特征的提取。该方法的主要好处是使用更少的数据来检测故障,同时提高准确性。主要结果表明,该方法是准确,有效且可靠地检测光伏系统中的线路故障。

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