基于物联网的分布式光伏发电站运行故障自动诊断方法
Automatic Diagnosis Method of Distributed Photovoltaic Power Station Operation Failure Based on the Internet of Things
王明辉 1张炽基 1闫士红 1卢浩 1王彦龙2
作者信息
- 1. 北京京能清洁能源电力股份有限公司西南分公司,四川成都 610031
- 2. 北京智慧互联能源有限公司,北京 100080
- 折叠
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.
Abstract
A distributed photovoltaic power station operation failure automatic diagnosis method based on the Internet of Things(IoT)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.
关键词
物联网/光伏发电站/运行故障/自动诊断Key words
IoT/photovoltaic power station/operation failure/automatic diagnosis引用本文复制引用
出版年
2024
NETL
NSTL
万方数据