基于人工智能的光伏发电系统故障检测与诊断方法研究
Research on Fault Detection and Diagnosis Method of Photovoltaic Power Generation System Based on Artificial Intelligence
姜春娇 1卢尧 1傅慧华1
作者信息
- 1. 国网江苏省电力有限公司南通供电分公司,江苏南通 226000
- 折叠
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.
Abstract
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.
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Key words
photovoltaic power generation system/fault detection and diagnosis/artificial intelligence/data processing/performance evaluation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据