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

A. Eskandari, J. Milimonfared, M. Aghaei, Aline Kirsten Vidal de Oliveira, R. Rüther
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引用次数: 7

Abstract

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.
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基于模式识别的I-V曲线光伏阵列线路故障检测
故障检测对光伏系统的可靠性和安全性起着至关重要的作用。然而,由于光伏系统的非线性、最大功率点跟踪(MPPT)、低辐射和高故障阻抗等特点,传统保护装置的故障检测一直存在困难。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和从电流-电压(I-V)特征中提取基本特征的故障检测方法。该方法的主要优点是使用较少的数据来检测故障,同时提高了精度。初步结果表明,该方法对光伏系统的线路故障检测是准确、有效和可靠的。
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