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Photovoltaic fault detection algorithm based on theoretical curves modelling and fuzzy classification system

机译:基于理论曲线建模和模糊分类系统的光伏故障检测算法

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摘要

This work proposes a fault detection algorithm based on the analysis of the theoretical curves which describe the behavior of an existing PV system. For a given set of working conditions, solar irradiance and PV modules' temperature, a number of attributes such as voltage ratio (VR) and power ratio (PR) are simulated using virtual instrumentation (VI) LabVIEW software. Furthermore, a third order polynomial function is used to generate two detection limits for the VR and PR ratios obtained using VI LabVIEW simulation tool.
机译:这项工作基于对描述现有光伏系统行为的理论曲线的分析,提出了一种故障检测算法。对于给定的一组工作条件,太阳辐照度和光伏组件的温度,使用虚拟仪器(VI)LabVIEW软件模拟了许多属性,例如电压比(VR)和功率比(PR)。此外,使用三阶多项式函数生成使用VI LabVIEW仿真工具获得的VR和PR比率的两个检测极限。

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