基于模糊逻辑控制器的光伏故障诊断算法

Y. Lahiouel, S. Latreche, M. Khemliche, L. Boulemzaoud
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引用次数: 0

摘要

介绍。太阳能系统以清洁的方式发电的效率。工业和家庭系统对它的依赖导致其设施出现故障。在运行期间,这些系统会恶化,这就需要开发一种诊断系统,旨在通过尽快检测故障并解决故障,以最大速度维持能源生产。的目标。本文提出了一种基于模糊逻辑的光伏系统故障检测算法。新鲜事物。计算光伏系统中各元件产生的电压和电流值的畸变比,并通过模糊逻辑控制器进行处理,从而确定故障的性质。结果。结果表明,通过计算电压和电流的失真率,采用模糊逻辑控制检测出光伏阵列、变换器DC-DC和电池中的12个故障。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Photovoltaic fault diagnosis algorithm using fuzzy logic controller based on calculating distortion ratio of values
Introduction. The efficiency of solar energy systems in producing electricity in a clean way. Reliance on it in industrial and domestic systems has led to the emergence of malfunctions in its facilities. During the operating period, these systems deteriorate, and this requires the development of a diagnostic system aimed at maintaining energy production at a maximum rate by detecting faults as soon as possible and addressing them. Goal. This work proposes the development of an algorithm to detect faults in the photovoltaic system, which based on fuzzy logic. Novelty. Calculate the distortion ratio of the voltage and current values resulting from each element in the photovoltaic system and processing it by the fuzzy logic controller, which leads to determining the nature of the fault. Results. As show in results using fuzzy logic control by calculating the distortion ratio of the voltage and current detect 12 faults in photovoltaic array, converter DC-DC and battery.
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