Automatic Diagnosis Method of Distributed Photovoltaic Power Station Operation Failure Based on the Internet of Things
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.
IoTphotovoltaic power stationoperation failureautomatic diagnosis
NETL
NSTL
万方数据
