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农村高比例分布式光伏状态异常特征提取及特性分析研究

Research on Feature Extraction and Characteristic Analysis of Anomaly Status in Rural High-Penetration Distributed Photovoltaic Systems

  • 摘要: 分布式光伏设备受阴影遮挡、温湿度波动、设备老化等多因素影响,其运行状态具有强不确定性和隐蔽性,这给运维检修带来了挑战。文章分析了分布式光伏故障类型,提出了光伏异常特征提取方法,并基于Matlab/Simulink对不同类型故障进行仿真及特性分析,为光伏检测准确度提升构建坚实数据基础,有效支撑光伏故障检测业务。

     

    Abstract: Distributed photovoltaic systems are affected by multiple factors such as shadow occlusion, temperature and humidity fluctuations, and equipment aging and so on, resulting in highly uncertain and concealed operational states, which pose significant challenges for their operation, maintenance, and troubleshooting. This paper analyzes the types of distributed PV failures, proposes methods for extracting anomalous features of PV systems, and conducts simulations and characteristic analyses of different failure types based on Matlab/Simulink. The study establishes a robust data foundation for improving detection accuracy, effectively supporting PV fault detection practices.

     

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