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On-line fault detection algorithm of a photovoltaic system using wavelet transform

机译:基于小波变换的光伏系统在线故障检测算法

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The fault detection algorithm of a grid-connected photovoltaic system using wavelet transform is suggested in this paper. When the faults occur in the power conditioning system, the impact on the grid system is very risky. Therefore, it is necessary to detect faults in a short time period. When using the conventional detection method, extra hardware and sensors are required to detect the inverter failure; moreover, the disadvantage of the conventional method are its high cost and re-design problem if the inverter specification needs to be changed. Multi-level decomposition wavelet transformation is an efficient method to detect the fault location and components of the inverter. Prompt and accurate diagnostic function is possible using the normalized standard deviation of the wavelet coefficients. The proposed algorithm has simple calculation and precise diagnostic capabilities of the fault detection. A computer simulation is performed and the experimental result verifies the validity of the proposed method. (C) 2016 Elsevier Ltd. All rights reserved.
机译:提出了一种基于小波变换的光伏并网系统故障检测算法。当电力调节系统中发生故障时,对电网系统的影响非常危险。因此,有必要在短时间内检测出故障。使用常规检测方法时,需要额外的硬件和传感器来检测逆变器故障。此外,传统方法的缺点是成本高以及如果需要改变逆变器规格则需要重新设计。多级分解小波变换是一种有效的检测逆变器故障位置和组件的方法。使用小波系数的归一化标准偏差可以实现迅速而准确的诊断功能。该算法具有故障检测的简单计算和精确的诊断能力。进行了计算机仿真,实验结果验证了该方法的有效性。 (C)2016 Elsevier Ltd.保留所有权利。

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