基于BP神经网络的光伏组件在线故障诊断A Survey of Online Fault Diagnosis for PV Module Based on BP Neural Network
王元章;李智华;吴春华;周笛青;付立;
摘要(Abstract)：
为了提高光伏系统的发电效率,同时降低人工维护的成本,提出了一种基于BP(back propagation)神经网络的光伏组件在线故障诊断策略;分析了光伏组件短路和异常老化故障的成因,并在Matlab中对光伏组件故障状态下的输出特性进行了仿真研究。根据仿真结果并结合光伏组件的数学模型,总结了光伏组件的故障规律,建立了BP神经网络故障诊断模型及模拟光伏组件各种故障的仿真模型。用该模型采集了适合神经网络训练的样本,并对神经网络诊断模型进行了训练。结合光伏功率优化器,进行了组件在线故障诊断的仿真和实验研究,结果验证了文中方法的正确性、有效性和环境适应性。
关键词(KeyWords)： 光伏组件;在线诊断;短路;异常老化;BP神经网络
基金项目(Foundation): 国家自然科学基金项目(51107079)~~
作者(Author): 王元章;李智华;吴春华;周笛青;付立;
Email:
DOI: 10.13335/j.1000-3673.pst.2013.08.024
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