摘要
文章旨在利用人工智能技术提高光伏发电系统的故障检测与诊断效率。通过综合分析光伏发电系统的特点和传统故障检测方法,提出了一种基于人工智能的故障检测方法,包括数据采集、特征提取、模型设计与优化等步骤。通过实验验证和对比分析证实,该方法在光伏发电系统中具有较高的准确性和效率,为提高光伏发电系统的运行效率和可靠性提供了有效的技术支持与方法参考。
This paper aims to improve the efficiency of fault detection and diagnosis in photovoltaic power generation systems using artificial intelligence technology.By comprehensively analyzing the characteristics of photovoltaic power generation systems and traditional fault detection methods,a fault detection method based on artificial intelligence is proposed,including steps such as data acquisition,feature extraction,model design,and optimization.The experimental verification and comparative analysis show that this method has high accuracy and efficiency in photovoltaic power generation systems,which provides effective technical support and method reference for improving the operation efficiency and reliability of the photovoltaic power generation system.
作者
姜春娇
卢尧
傅慧华
JIANG Chunjiao;LU Yao;FU Huihua(Nantong Power Supply Branch of State Grid Jiangsu Electric Power Co.,Ltd.,Nantong 226000,China)
出处
《通信电源技术》
2024年第7期237-239,共3页
Telecom Power Technology
关键词
光伏发电系统
故障检测与诊断
人工智能
数据处理
性能评估
photovoltaic power generation system
fault detection and diagnosis
artificial intelligence
data processing
performance evaluation
