摘要
针对常规故障自动诊断方法难以准确判断故障位置的问题,提出基于物联网的分布式光伏发电站运行故障自动诊断方法。通过物联网技术构建光伏发电站运行故障分布式特征提取模型,详细分析故障特征。根据故障特征提取结果,设定故障自动诊断阈值,生成故障自动诊断函数,实现光伏发电站运行故障的自动诊断。结果表明,该方法能够准确诊断故障位置,与实际故障位置一致。
A distributed photovoltaic power station operation failure automatic diagnosis method based on the Internet of Things(loT)is proposed to address the problem of difficulty in accurately determining the fault location using conventional fault automatic diagnosis methods.Construct a distributed feature extraction model for photovoltaic power stcation operation failure through IoT technology,and analyze the fault characteristics in detail.Based on the results of fault feature extraction,set a fault automatic diagnosis threshold,generate a fault automatic diagnosis function,and achieve automatic diagnosis of operation failure in photovoltaic power stations.The results indicate that this method can accurately diagnose the fault location and is consistent with the actual fault location.
作者
王明辉
张炽基
闫士红
卢浩
王彦龙
WANG Minghui;ZHANG Chiji;YAN Shihong;LU Hao;WANG Yanlong(Southwest Branch,Beijing Jingneng Clean Energy Power Co.,Ltd.,Chengdu,Sichuan 610031,China;Beijing Smart Internet Energy Co.,Ltd.,Beijing 100080,China)
出处
《自动化应用》
2024年第11期141-142,146,共3页
Automation Application
关键词
物联网
光伏发电站
运行故障
自动诊断
IoT
photovoltaic power station
operation failure
automatic diagnosis
